̽��ֱ�� of Cambridge - Department of Applied Mathematics and Theoretical Physics

Opinion: AI can transform health and medicine

cjb250 — Mon, 07 Apr 2025 08:00:37 +0000

AI has the potential to transform health and medicine. It won't be straightforward, but if we get it right, the benefits could be enormous. Andres Floto, Mihaela van der Schaar and Eoin McKinney explain.

Thriving Antarctic ecosystems found following iceberg calving

Anonymous — Tue, 25 Mar 2025 10:22:45 +0000

An international team of scientists have uncovered a thriving underwater ecosystem off the coast of Antarctica that had never before been accessible to humans.

̽��ֱ��team, including researchers from the ̽��ֱ�� of Cambridge, were working in the Bellingshausen Sea off the coast of Antarctica when a massive iceberg broke away from the George VI Ice Shelf in January of this year.

̽��ֱ��team, on board Schmidt Ocean Institute’s R/V Falkor (too), changed their plans and reached the newly exposed seafloor 12 days later, becoming the first to investigate the area.

Their expedition was the first detailed study of the geology, physical oceanography, and biology beneath such a large area once covered by a floating ice shelf. ̽��ֱ��A-84 iceberg was approximately 510 square kilometres (209 square miles) in size, and revealed an equivalent area of seafloor when it broke away from the ice shelf.

"We seized upon the moment, changed our expedition plan, and went for it so we could look at what was happening in the depths below," said expedition co-chief scientist Dr Patricia Esquete from the ̽��ֱ�� of Aveiro, Portugal. "We didn't expect to find such a beautiful, thriving ecosystem. Based on the size of the animals, the communities we observed have been there for decades, maybe even hundreds of years.”

Using Schmidt Ocean Institute’s remotely operated vehicle, ROV SuBastian, the team observed the deep seafloor for eight days and found flourishing ecosystems at depths as great as 1300 meters.

Their observations include large corals and sponges supporting an array of animal life, including icefish, giant sea spiders, and octopus. ̽��ֱ��discovery offers new insights into how ecosystems function beneath floating sections of the Antarctic ice sheet.

Little is known about what lies beneath Antarctica’s floating ice shelves. In 2021, British Antarctic Survey researchers first reported signs of bottom-dwelling life beneath the Filchner-Ronne ice shelf in the Southern Weddell Sea. ̽��ֱ��current expedition was the first to use an ROV to explore this remote environment.

̽��ֱ��team was surprised by the significant biomass and biodiversity of the ecosystems and suspect they have discovered several new species.

Deep-sea ecosystems typically rely on nutrients from the surface slowly raining down to the seafloor. For centuries, the ecosystems under the ice shelf have been covered by ice almost 150 metres thick, completely cutting them off from surface nutrients. " ̽��ֱ��fact that we found long-living species suggests that the lateral transport, which mostly consists of glacial meltwater from the ice shelf, could be the source of the nutrients to sustain the life we found," said team member Dr Laura Cimoli, from Cambridge’s Department of Applied Mathematics and Theoretical Physics.

̽��ֱ��newly exposed Antarctic seafloor also allowed the team, with scientists from Portugal, the United Kingdom, Chile, Germany, Norway, New Zealand, and the United States, to gather critical data on the past behaviour of the larger Antarctic ice sheet. ̽��ֱ��ice sheet has been shrinking and losing mass over the last few decades due to climate change.

“ ̽��ֱ��ice loss from the Antarctic Ice Sheet is a major contributor to sea level rise worldwide,” said expedition co-chief scientist Sasha Montelli of ̽��ֱ�� College London (UCL). “Our work is critical for providing longer-term context of these recent changes, improving our ability to make projections of future change — projections that can inform actionable policies. We will undoubtedly make new discoveries as we continue to analyse this data.”

“We were thrilled by the opportunity to explore the newly exposed seafloor,” said team member Dr Svetlana Radionovskaya from Cambridge’s Department of Earth Sciences. “ ̽��ֱ��research will provide key insights into ice sheet dynamics, oceanography and sub-ice shelf ecosystems. At a time when the West Antarctic Ice Sheet is melting at an alarming rate, understanding these dynamics and their impacts is crucial.”

photo1_fkt250110-20250117-gliderdeploymentzodiac-ingle-2717.jpg

̽��ֱ��oceanography team, led by Cimoli in collaboration with the ̽��ֱ�� of East Anglia and the British Antarctic Survey, used autonomous underwater vehicles to characterise the ocean circulation of the region and study the impacts of glacial meltwater on the physical and chemical seawater properties. "Antarctica and the Southern Ocean are a nexus point for ocean circulation, so changes that happen around Antarctica can affect global ocean circulation and global climate," said Cimoli.

̽��ֱ��researchers are also investigating how the iceberg calving event has contributed to mix the upper ocean, not just in the recently exposed area, but also further downstream as the iceberg floats away. As the giant iceberg drifts, it can generate turbulence that mixes water properties and could potentially mix the deep nutrient-rich water with the surface waters, fuelling biological productivity.

̽��ֱ��expedition was part of Challenger 150, a global cooperative focused on deep-sea biological research and endorsed by the Intergovernmental Oceanographic Commission of UNESCO (IOC/UNESCO) as an Ocean Decade Action.

“ ̽��ֱ��science team was originally in this remote region to study the seafloor and ecosystem at the interface between ice and sea,” said Schmidt Ocean Institute Executive Director, Dr Jyotika Virmani. “Being right there when this iceberg calved from the ice shelf presented a rare scientific opportunity. Serendipitous moments are part of the excitement of research at sea – they offer the chance to be the first to witness the untouched beauty of our world.”

Svetlana Radionovskaya is a Junior Research Fellow at Queens’ College, Cambridge. Laura Cimoli is a Research Fellow at the Institute of Computing for Climate Science, Department of Applied Mathematics and Theoretical Physics at the ̽��ֱ�� of Cambridge.

Adapted from a media release by the Schmidt Ocean Institute.

Inset image: Dr Cimoli (right) and Dr Meyer (UEA, left) prepare an underwater glider for deployment. Credit: Alex Ingle/Schmidt Ocean Institute.

Scientists explore a seafloor area newly exposed by iceberg A-84; discover vibrant communities of ancient sponges and corals.

ROV SuBastian / Schmidt Ocean Institute

Deep-sea coral at a depth of 1200 metres

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Licence type:

Attribution-Noncommercial-ShareAlike

Origins of black holes revealed in their spin, study finds

sc604 — Tue, 07 Jan 2025 12:12:06 +0000

̽��ֱ��size and spin of black holes can reveal important information about how and where they formed, according to new research. ̽��ֱ��study tests the idea that many of the black holes observed by astronomers have merged multiple times within densely populated environments containing millions of stars.

̽��ֱ��team, involving researchers from the ̽��ֱ�� of Cambridge, examined the public catalogue of 69 gravitational wave events involving binary black holes detected by ̽��ֱ��Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo Observatory for clues about these successive mergers, which they believe create black holes with distinctive spin patterns.

They discovered that a black hole’s spin changes when it reaches a certain mass, suggesting it may have been produced through a series of multiple previous mergers.

Their study, published in the journal Physical Review Letters, shows how spin measurements can reveal the formation history of a black hole and offers a step forward in understanding the diverse origins of these astrophysical phenomena.

“As we observe more black hole mergers with gravitational wave detectors like LIGO and Virgo, it becomes ever clearer that black holes exhibit diverse masses and spins, suggesting they may have formed in different ways,” said lead author Dr Fabio Antonini from Cardiff ̽��ֱ��. “However, identifying which of these formation scenarios is most common has been challenging.”

̽��ֱ��team pinpointed a clear mass threshold in the gravitational waves data where black hole spins consistently change.

They say this pattern aligns with existing models which assume black holes are produced through repeat collisions in clusters, rather than other environments where spin distributions are different.

This result supports a robust and relatively model-independent signature for identifying these kinds of black holes, something that has been challenging to confirm until now, according to the team.

“Our study gives us a powerful, data-driven way to identify the origins of a black hole’s formation history, showing that the way it spins is a strong indicator of it belonging to a group of high-mass black holes, which form in densely populated star clusters where small black holes repeatedly collide and merge with one another,” said co-author Dr Isobel Romero-Shaw, from Cambridge’s Department of Applied Mathematics and Theoretical Physics.

Their study will now help astrophysicists further refine computer models which simulate the formation of black holes, helping to shape how future gravitational wave detections are interpreted.

“Collaborating with other researchers and using advanced statistical methods will help to confirm and expand our findings, especially as we move toward next-generation detectors,” said co-author Dr Thomas Callister from the ̽��ֱ�� of Chicago. “ ̽��ֱ��Einstein Telescope, for example, could detect even more massive black holes and provide unprecedented insights into their origins.”

Reference:
Fabio Antonini, Isobel M Romero-Shaw, and Thomas Callister. 'Star Cluster Population of High Mass Black Hole Mergers in Gravitational Wave Data.' Physical Review Letters (2025). DOI: 10.1103/PhysRevLett.134.011401

Adapted from a Cardiff ̽��ֱ�� media release.

Gravitational waves data held clues for high-mass black holes’ violent beginnings.

NASA, ESA, and D Coe, J Anderson, and R van der Marel (STScI)

Computer-simulated image of a supermassive black hole at the core of a galaxy.

Yes

Licence type:

Public Domain

New datasets will train AI models to think like scientists

sc604 — Mon, 02 Dec 2024 15:59:08 +0000

̽��ֱ��initiative, called Polymathic AI, uses technology like that powering large language models such as OpenAI’s ChatGPT or Google’s Gemini. But instead of ingesting text, the project’s models learn using scientific datasets from across astrophysics, biology, acoustics, chemistry, fluid dynamics and more, essentially giving the models cross-disciplinary scientific knowledge.

“These datasets are by far the most diverse large-scale collections of high-quality data for machine learning training ever assembled for these fields,” said team member Michael McCabe from the Flatiron Institute in New York City. “Curating these datasets is a critical step in creating multidisciplinary AI models that will enable new discoveries about our universe.”

On 2 December, the Polymathic AI team released two of its open-source training dataset collections to the public — a colossal 115 terabytes, from dozens of sources — for the scientific community to use to train AI models and enable new scientific discoveries. For comparison, GPT-3 used 45 terabytes of uncompressed, unformatted text for training, which ended up being around 0.5 terabytes after filtering.

̽��ֱ��full datasets are available to download for free on HuggingFace, a platform hosting AI models and datasets. ̽��ֱ��Polymathic AI team provides further information about the datasets in two papers accepted for presentation at the NeurIPS machine learning conference, to be held later this month in Vancouver, Canada.

“Just as LLMs such as ChatGPT learn to use common grammatical structure across languages, these new scientific foundation models might reveal deep connections across disciplines that we’ve never noticed before,” said Cambridge team lead Dr Miles Cranmer from Cambridge’s Institute of Astronomy. “We might uncover patterns that no human can see, simply because no one has ever had both this breadth of scientific knowledge and the ability to compress it into a single framework.”

AI tools such as machine learning are increasingly common in scientific research, and were recognised in two of this year’s Nobel Prizes. Still, such tools are typically purpose-built for a specific application and trained using data from that field. ̽��ֱ��Polymathic AI project instead aims to develop models that are truly polymathic, like people whose expert knowledge spans multiple areas. ̽��ֱ��project’s team reflects intellectual diversity, with physicists, astrophysicists, mathematicians, computer scientists and neuroscientists.

̽��ֱ��first of the two new training dataset collections focuses on astrophysics. Dubbed the Multimodal Universe, the dataset contains hundreds of millions of astronomical observations and measurements, such as portraits of galaxies taken by NASA’s James Webb Space Telescope and measurements of our galaxy’s stars made by the European Space Agency’s Gaia spacecraft.

̽��ֱ��other collection — called the Well — comprises over 15 terabytes of data from 16 diverse datasets. These datasets contain numerical simulations of biological systems, fluid dynamics, acoustic scattering, supernova explosions and other complicated processes. Cambridge researchers played a major role in developing both dataset collections, working alongside PolymathicAI and other international collaborators.

While these diverse datasets may seem disconnected at first, they all require the modelling of mathematical equations called partial differential equations. Such equations pop up in problems related to everything from quantum mechanics to embryo development and can be incredibly difficult to solve, even for supercomputers. One of the goals of the Well is to enable AI models to churn out approximate solutions to these equations quickly and accurately.

“By uniting these rich datasets, we can drive advancements in artificial intelligence not only for scientific discovery, but also for addressing similar problems in everyday life,” said Ben Boyd, PhD student in the Institute of Astronomy.

Gathering the data for those datasets posed a challenge, said team member Ruben Ohana from the Flatiron Institute. ̽��ֱ��team collaborated with scientists to gather and create data for the project. “ ̽��ֱ��creators of numerical simulations are sometimes sceptical of machine learning because of all the hype, but they’re curious about it and how it can benefit their research and accelerate scientific discovery,” he said.

̽��ֱ��Polymathic AI team is now using the datasets to train AI models. In the coming months, they will deploy these models on various tasks to see how successful these well-rounded, well-trained AIs are at tackling complex scientific problems.

“It will be exciting to see if the complexity of these datasets can push AI models to go beyond merely recognising patterns, encouraging them to reason and generalise across scientific domains,” said Dr Payel Mukhopadhyay from the Institute of Astronomy. “Such generalisation is essential if we ever want to build AI models that can truly assist in conducting meaningful science.”

“Until now, haven’t had a curated scientific-quality dataset cover such a wide variety of fields,” said Cranmer, who is also a member of Cambridge’s Department of Applied Mathematics and Theoretical Physics. “These datasets are opening the door to true generalist scientific foundation models for the first time. What new scientific principles might we discover? We're about to find out, and that's incredibly exciting.”

̽��ֱ��Polymathic AI project is run by researchers from the Simons Foundation and its Flatiron Institute, New York ̽��ֱ��, the ̽��ֱ�� of Cambridge, Princeton ̽��ֱ��, the French Centre National de la Recherche Scientifique and the Lawrence Berkeley National Laboratory.

Members of the Polymathic AI team from the ̽��ֱ�� of Cambridge include PhD students, postdoctoral researchers and faculty across four departments: the Department of Applied Mathematics and Theoretical Physics, the Department of Pure Mathematics and Mathematical Statistics, the Institute of Astronomy and the Kavli Institute for Cosmology.

What can exploding stars teach us about how blood flows through an artery? Or swimming bacteria about how the ocean’s layers mix? A collaboration of researchers, including from the ̽��ֱ�� of Cambridge, has reached a milestone toward training artificial intelligence models to find and use transferable knowledge between fields to drive scientific discovery.

Alex Meng, Aaron Watters and the Well Collaboration

A mosaic of simulations included in the Well collection of datasets

Yes

Award-winning broadcaster Hannah Fry joins Cambridge as Professor of the Public Understanding of Mathematics

sc604 — Fri, 22 Nov 2024 00:04:32 +0000

Fry brings outstanding experience to the role of communicating to diverse audiences, including with people not previously interested in maths. She will follow in the footsteps of giants of public engagement with mathematics, including David Spiegelhalter and the late Stephen Hawking as she joins the Department of Applied Mathematics and Theoretical Physics (DAMTP).

“I’m really looking forward to joining the Cambridge community,” said Fry, “to those chance encounters and interactions that end up sparking new ideas and collaborations: it’s so exciting to be in an environment where every single person you speak to is working on something absolutely fascinating.”

Fry won the Christopher Zeeman Medal for promoting mathematics in 2018 and the Royal Society David Attenborough Award in 2024, and is the current President of the Institute of Mathematics and its Applications.

She is currently Professor of the Mathematics of Cities at UCL, where she works with physicists, mathematicians, computer scientists, architects and geographers to study patterns in human behaviour – particularly in an urban setting. Her research applies to a wide range of social problems and questions, from shopping and transport to urban crime, riots and terrorism, and she has applied this research by advising and working alongside governments, police forces, supermarkets and health analysts.

“When you create a mathematical model, it doesn’t really matter how beautifully crafted your equations are, or how accurate your simulations are,” said Fry. “You have to think about how the work you’ve created is going to be seen and perceived by other people and how it’s going to be understood or misunderstood.”

̽��ֱ��new professorship builds on Cambridge’s long track record in sharing maths. DAMTP is also the home of the largest subject-specific outreach and engagement project in the ̽��ֱ�� – the Millennium Mathematics Project (MMP).

Fry says she plans for her work at Cambridge to follow on from Spiegelhalter's extensive public communication work, which she sees as a vital part of the research process.

“Communication is not an optional extra: if you are creating something that is used by, or interacts with members of the public or the world in general, then I think it’s genuinely your moral duty to engage the people affected by it,” she said. “I’d love to build and grow a community around excellence in mathematical communication at Cambridge – so that we’re really researching the best possible methods to communicate with people.”

“Hannah is an outstanding mathematician and researcher, and one of the UK’s best maths communicators,” said Professor Colm-cille Caulfield, Head of DAMTP. “Mathematics affects so many aspects of our everyday lives in interesting and exciting ways, and Hannah will strengthen the excellent work already being done at Cambridge in this area. We in DAMTP and our Faculty of Mathematics colleagues in the Department of Pure Mathematics and Mathematical Statistics are so excited to have her join us.”

Professor Fry announced her appointment at an event yesterday (21 November) organised by the MMP in collaboration with the Newton Gateway to Mathematics at the Isaac Newton Institute in Cambridge. ̽��ֱ��event – Communicating mathematical and data sciences – what does success look like? – explored evidence for effectively communicating mathematical and data science research to policymakers, mainstream media and the wider public.

“Professor Fry is one of the most exciting voices in science and mathematics today,” said Professor Nigel Peake, Head of the School of the Physical Sciences. “Her deep commitment to sharing the excitement of maths with people of all ages and backgrounds, at a time when mathematical literacy has never been so important, will be an enormous benefit to Cambridge, and the UK as a whole.”

Professor Hannah Fry, mathematician, best-selling author, award-winning science presenter and host of popular podcasts and television shows, will join the ̽��ֱ�� of Cambridge as the first Professor of the Public Understanding of Mathematics on 1 January.

Lloyd Mann

Hannah Fry

Yes

A peek inside the box that could help solve a quantum mystery

sc604 — Tue, 19 Nov 2024 15:22:24 +0000

Appearing as ‘bumps’ in the data from high-energy experiments, these signals came to be known as short-lived ‘XYZ states.’ They defy the standard picture of particle behaviour and are a problem in contemporary physics, sparking several attempts to understand their mysterious nature.

But theorists at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility in Virginia, with colleagues from the ̽��ֱ�� of Cambridge, suggest the experimental data could be explained with fewer XYZ states, also called resonances, than currently claimed.

̽��ֱ��team used a branch of quantum physics to compute the energy levels, or mass, of particles containing a specific ‘flavour’ of the subatomic building blocks known as quarks. Quarks, along with gluons, a force-carrying particle, make up the Strong Force, one of the four fundamental forces of nature.

̽��ֱ��researchers found that multiple particle states sharing the same degree of spin – or angular momentum – are coupled, meaning only a single resonance exists at each spin channel. This new interpretation is contrary to several other theoretical and experimental studies.

̽��ֱ��researchers have presented their results in a pair of companion papers published for the international Hadron Spectrum Collaboration (HadSpec) in Physical Review Letters and Physical Review D. ̽��ֱ��work could also provide clues about an enigmatic particle: X(3872).

̽��ֱ��charm quark, one of six quark ‘flavours’, was first observed experimentally in 1974. It was discovered alongside its antimatter counterpart, the anticharm, and particles paired this way are part of an energy region called ‘charmonium.’

In 2003, Japanese researchers discovered a new charmonium candidate dubbed X(3872): a short-lived particle state that appears to defy the present quark model.

“X(3872) is now more than 20 years old, and we still haven’t obtained a clear, simple explanation that everyone can get behind,” said lead author Dr David Wilson from Cambridge’s Department of Applied Mathematics and Theoretical Physics (DAMTP).

Thanks to the power of modern particle accelerators, scientists have detected a hodgepodge of exotic charmonium candidate states over the past two decades.

“High-energy experiments started seeing bumps, interpreted as new particles, almost everywhere they looked,” said co-author Professor Jozef Dudek from William & Mary. “And very few of these states agreed with the model that came before.”

But now, by creating a tiny virtual ‘box’ to simulate quark behaviour, the researchers discovered that several supposed XYZ particles might actually be just one particle seen in different ways. This could help simplify the confusing jumble of data scientists have collected over the years.

Despite the tiny volumes they were working with, the team required enormous computing power to simulate all the possible behaviours and masses of quarks.

̽��ֱ��researchers used supercomputers at Cambridge and the Jefferson Lab to infer all the possible ways in which mesons – made of a quark and its antimatter counterpart – could decay. To do this, they had to relate the results from their tiny virtual box to what would happen in a nearly infinite volume – that is, the size of the universe.

“In our calculations, unlike experiment, you can't just fire in two particles and measure two particles coming out,” said Wilson. “You have to simultaneously calculate all possible final states, because quantum mechanics will find those for you.”

̽��ֱ��results can be understood in terms of just a single short-lived particle whose appearance could differ depending upon which possible decay state it is observed in.

“We're trying to simplify the picture as much as possible, using fundamental theory with the best methods available,” said Wilson. “Our goal is to disentangle what has been seen in experiments.”

Now that the team has proved this type of calculation is feasible, they are ready to apply it to the mysterious particle X(3872).

“ ̽��ֱ��origin of X(3872) is an open question,” said Wilson. “It appears very close to a threshold, which could be accidental or a key part of the story. This is one thing we will look at very soon."

Professor Christopher Thomas, also from DAMTP, is a member of the Hadron Spectrum Collaboration, and is a co-author on the current studies. Wilson’s contribution was made possible in part by an eight-year fellowship with the Royal Society. ̽��ֱ��research was also supported in part by the Science and Technology Facilities Council (STFC), part of UK Research and Innovation (UKRI). Many of the calculations for this study were carried out with the support of the Cambridge Centre for Data Driven Discovery (CSD3) and DiRAC high-performance computing facilities in Cambridge, managed by Cambridge’s Research Computing Services division.

Reference:
David J. Wilson et al. ‘Scalar and Tensor Charmonium Resonances in Coupled-Channel Scattering from Lattice QCD.’ Physical Review Letters (2024). DOI: 10.1103/PhysRevLett.132.241901

David J. Wilson et al. ‘Charmonium xc0 and xc2 resonances in coupled-channel scattering from lattice QCD.’ Physical Review D (2024). DOI: 10.1103/PhysRevD.109.114503

Adapted from a Jefferson Lab story.

An elusive particle that first formed in the hot, dense early universe has puzzled physicists for decades. Following its discovery in 2003, scientists began observing a slew of other strange objects tied to the millionths of a second after the Big Bang.

gremlin via Getty Images

Abstract colourful lines

Yes

Buying time: can science save the Great Barrier Reef?

sc604 — Wed, 16 Oct 2024 04:18:14 +0000

If we don’t stop global temperatures – both on land and at sea – from rising, the Great Barrier Reef could become a coral graveyard. A team of scientists has decided to do something about it.

Ten Cambridge scientists elected as Fellows of the Royal Society 2024

Anonymous — Thu, 16 May 2024 08:51:02 +0000

̽��ֱ��Royal Society is a self-governing Fellowship of many of the world’s most distinguished scientists drawn from all areas of science, engineering and medicine.

̽��ֱ��Society’s fundamental purpose, as it has been since its foundation in 1660, is to recognise, promote and support excellence in science and to encourage the development and use of science for the benefit of humanity.

This year, over 90 researchers, innovators and communicators from around the world have been elected as Fellows of the Royal Society for their substantial contribution to the advancement of science. Nine of these are from the ̽��ֱ�� of Cambridge.

Sir Adrian Smith, President of the Royal Society said: “I am pleased to welcome such an outstanding group into the Fellowship of the Royal Society.

“This new cohort have already made significant contributions to our understanding of the world around us and continue to push the boundaries of possibility in academic research and industry.

“From visualising the sharp rise in global temperatures since the industrial revolution to leading the response to the Covid-19 pandemic, their diverse range of expertise is furthering human understanding and helping to address some of our greatest challenges. It is an honour to have them join the Fellowship.”

̽��ֱ��Fellows and Foreign Members join the ranks of Stephen Hawking, Isaac Newton, Charles Darwin, Albert Einstein, Lise Meitner, Subrahmanyan Chandrasekhar and Dorothy Hodgkin.

̽��ֱ��new Cambridge fellows are:

Professor Sir John Aston Kt FRS

Aston is the Harding Professor of Statistics in Public Life at the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, where he develops techniques for public policy and improves the use of quantitative methods in public policy debates.

From 2017 to 2020 he was the Chief Scientific Adviser to the Home Office, providing statistical and scientific advice to ministers and officials, and was involved in the UK’s response to the Covid pandemic. He was knighted in 2021 for services to statistics and public policymaking, and is a Fellow of Churchill College.

Professor Sarah-Jayne Blakemore FBA FMedSci FRS

Blakemore is the Professor of Psychology and Cognitive Neuroscience, Department of Psychology, and leader of the Developmental Cognitive Neuroscience Group. Her research focuses on the development of social cognition and decision making in the human adolescent brain, and adolescent mental health.

Blakemore has been awarded several national and international prizes for her research, and is a Fellow of the British Academy, the American Association of Psychological Science and the Academy of Medical Sciences.

Professor Patrick Chinnery FMedSci FRS

Chinnery is Professor of Neurology and head of the ̽��ֱ��’s Department of Clinical Neurosciences, and a Fellow of Gonville & Caius College. He was appointed Executive Chair of the Medical Research Council last year, having previously been MRC Clinical Director since 2019.

His principal research is the role of mitochondria in human disease and developing new treatments for mitochondrial disorders. Chinnery is a Wellcome Principal Research Fellow with a lab based in the MRC Mitochondrial Biology Unit and jointly chairs the NIHR BioResource for Translational Research in Common and Rare Diseases. He is a Fellow of the Academy of Medical Sciences.

Professor Rebecca Fitzgerald OBE FMedSci FRS

Fitzgerald is Professor of Cancer Prevention in the Department of Oncology and the inaugural Director of the ̽��ֱ��’s new Early Cancer Institute, which launched in 2022. She is a Fellow of Trinity College.

Her pioneering work to devise a first-in-class, non-endoscopic capsule sponge test for identifying individuals at high risk for oesophageal cancer has won numerous prizes, including the Westminster Medal, and this test is now being rolled out in the NHS and beyond by her spin-out Cyted Ltd.

Professor David Hodell FRS

Hodell is the Woodwardian Professor of Geology and Director of the Godwin Laboratory for Palaeoclimate Research in the Department of Earth Sciences, and a Fellow of Clare College.

A marine geologist and paleoclimatologist, his research focuses on high-resolution paleoclimate records from marine and lake sediments, as well as mineral deposits, to better understand past climate dynamics. Hodell is a fellow of the American Geophysical Union and the American Association for the Advancement of Science. He has received the Milutin Milankovic Medal.

Professor Eric Lauga FRS

Lauga is Professor of Applied Mathematics in the Department of Applied Mathematics and Theoretical Physics, where his research is in fluid mechanics, biophysics and soft matter. Lauga is the author, or co-author, of over 180 publications and currently serves as Associate Editor for the journal Physical Review Fluids.

He is a recipient of three awards from the American Physical Society: the Andreas Acrivos Dissertation Award in Fluid Dynamics, the François Frenkiel Award for Fluid Mechanics and the Early Career Award for Soft Matter Research. He is a Fellow of the American Physical Society and of Trinity College.

Professor George Malliaras FRS

Malliaras is the Prince Philip Professor of Technology in the Department of Engineering, where he leads a group that works on the development and translation of implantable and wearable devices that interface with electrically active tissues, with applications in neurological disorders and brain cancer.

Research conducted by Malliaras has received awards from the European Academy of Sciences, the New York Academy of Sciences, and the US National Science Foundation among others. He is a Fellow of the Materials Research Society and of the Royal Society of Chemistry.

Professor Lloyd Peck FRI FRSB FRS

Peck is a marine biologist at the British Antarctic Survey and a fellow at Wolfson College, Cambridge.

He identified oxygen as a factor in polar gigantism and identified problems with protein synthesis as the cause of slow development and growth in polar marine species. He was awareded a Polar Medal in 2009, the PLYMSEF Silver medal in 2015 and an Erskine Fellowship at the ̽��ֱ�� of Canterbury, Christchurch in 2016-2017.

Professor Oscar Randal-Williams FRS

Randal-Williams is the Sadleirian Professor of Pure Mathematics in the Department of Pure Mathematics and Mathematical Statistics.

He has received the Whitehead Prize from the London Mathematical Society, a Philip Leverhulme Prize, the Oberwolfach Prize, the Dannie Heineman Prize of the Göttingen Academy of Sciences and Humanities, and was jointly awarded the Clay Research Award.

Randal-Williams is one of two managing editors of the Proceedings of the London Mathematical Society, and an editor of the Journal of Topology.

Professor Mihaela van der Schaar FRS

Van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine in the Departments of Applied Mathematics and Theoretical Physics, Engineering and Medicine.

She is the founder and director of the Cambridge Centre for AI in Medicine, and a Fellow at ̽��ֱ��Alan Turing Institute. Her work has received numerous awards, including the Oon Prize on Preventative Medicine, a National Science Foundation CAREER Award, and the IEEE Darlington Award.

Van der Schaar is credited as inventor on 35 US patents, and has made over 45 contributions to international standards for which she received three ISO Awards. In 2019, a Nesta report declared her the most-cited female AI researcher in the UK.

Ten outstanding Cambridge researchers have been elected as Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.

Royal Society

̽��ֱ��Royal Society in central London

Yes