Advisory Board

Enabling the collaborative research in Precision Health that is instrumental in the transition to preventative medicine



Sarah Bohndiek

seb53@cam.ac.uk

Physical  Imaging  

Prof Bohndiek's research focuses on advancing the understanding of tumour evolution using next-generation imaging sciences. She is particularly interested in the study of blood vessel formation in early cancer. Her team is also active in translating the findings into first-in-human clinical trials.

biomedical optics  endoscopy  photoacoustic  cancer  clinical trials  

John Aston

j.aston@statslab.cam.ac.uk

Physical  Mathematical Statistics  

Prof Aston's research interests include all areas of Applied Statistics but particularly Official and Public Policy Statistics, Statistical Neuroimaging and Statistical Linguistics; and the links between statistics and other areas of pure and applied mathematics. He is also involved in some of Cambridge's AI and COVID-19 work through AIX-COVNET.

public policy statistics  statistical neuroimaging  statistical linguistics  

Sergio Bacallado

sb2116@cam.ac.uk

Physical  Mathematical Statistics  

Dr Bacallado is a statistician specialising in Bayesian methods and Bayesian nonparametrics. In particular, he has a background in Structural Biology. He develops methods for the analysis of human microbiome studies, and previously worked on applications to molecular dynamics simulations and single-molecule biophysics.

statistics  microbiome studies  molecular dynamics simulations  

Martin Bennett

mrb24@medschl.cam.ac.uk

Cardiovascular Research  Imaging  

Prof Bennett studies the regulation of cell accumulation and interactions in vascular disease, using both human and mouse cells in vitro and models of atherosclerosis with genetic manipulation. He also has a major interest in vulnerable plaque imaging in patients using both invasive and non-invasive modalities.

regulation of cell accumulation and interactions in vascular disease  plaque imaging  

Clare Bryant

ceb27@cam.ac.uk

Medicine  Immunology  

Prof Bryant's research employs multidisciplinary approaches to understand how bacteria are detected by the host through Pattern Recognition Receptors (PRRs), and how PRR recognition of allergen proteins or toxic proteins produced by patients link to chronic inflammatory diseases such as allergies and Alzheimer’s

immunological recognition  effector mechanisms  

Ruth Cameron

rec11@cam.ac.uk

Material Science & Metallurgy  Physical  

Prof Cameron's research considers materials which interact therapeutically with the body. Her research interests lie in bioactive biodegradable composites, biodegradable polymers, tissue engineered scaffold, surface patterning, drug delivery, and pharmaceutics.

drug delivery  tissue engineering  biodegradable polymers  

Colm-cille Caulfield

c.p.caulfield@damtp.cam.ac.uk

Physical  Applied Mathematics  

Prof Caulfield is interested in various fluid flows in the environment, particularly in cases where density differences play a dynamical role. Understanding the fundamental properties of the associated fluid dynamics is key to ensuring sustainable human activity.

fluid dynamics  stratified flows  turbulent mixing  building ventilation  

Pietro Cicuta

pc245@cam.ac.uk

Physical  Biological Physics  

Prof Cicuta's research focuses on living systems, with main efforts on hydrodynamic synchronisation of motile cilia, physics of bacteria, malaria blood-stage infection, phospholipid membranes and single cell imaging systems.

hydrodynamics  phospholipid membranes  soft matter  

Rebecca Fitzgerald

rcf29@cam.ac.uk

Medicine  Oncology  

Prof Fitzgerald's group focuses on oesophageal and gastric cancer by understanding the underlying clinical, genetic and cell environmental factors, developing and evaluating new diagnostic tools to identify patients' cancer development risk, and improving the molecular characterisation of oesophago-gastric cancer to inform patient management.

clinical trials  public health  early detection  oesophageal/gastric cancer  

Andres Floto

arf27@cam.ac.uk

Medicine  Immunology  

Prof Floto's research is focused on understanding how immune cells interact with bacteria, how intracellular killing and inflammation are regulated and sometimes subverted during infection, how population-level whole genome sequencing can be used to reveal biology of bacterial infection, and how therapeutic enhancement of cell-autonomous immunity may provide novel strategies to treat multi drug resistant pathogens.

immune cell  bacteria interaction  polulation level genome sequencing  

Stuart Hogarth

sh339@cam.ac.uk

Sociology  Humanities  

Dr Hogarth's work focuses on biomedical innovation with a primary interest in the impact of genomic science on the diagnostics sector. His work is situated at the interface of science and technology studies, medical sociology, bioethics, innovation studies and regulatory studies.

biomedical innovation  bioeconomy  bioethics  

Stephen John

sdj22@cam.ac.uk

Humanities  Philosophy of Science  

Dr John's main research clusters around a series of concepts raising both ethical and epistemological challenges: certainty, communication, chance and categorisation. He is particularly interested in how these concepts are used in policy-making, and debates over the early detection and prevention of cancer.

applied ethics  social epistemology  and political philosophy  

David Klenerman

dk10012@cam.ac.uk

Chemistry  

Prof Sir Klenerman's research interests lie in developing and applying a range of new quantitative biophysical methods, based on single molecule fluorescence and scanning probe microscopy, to important yet unaddressed problems in biology.

biophysical methods  single molecule fluorescence  scanning probe microscopy  

Zoe Kourtzi

zk240@cam.ac.uk

Psychology  

Prof Kourtzi in an expert in Cognitive Computational Neuroscience working at the interface of computational science and neuroscience. Her work uses AI and machine learning tools to develop predictive models of individualised disease trajectories with translational impact in the early precision diagnosis and design of personalised interventions in brain and mental health disorders (e.g. neurodegenerative disorders, anxiety-related disorders).

learning and brain plasticity  visual perception and cognition  cognitive ageing  brain imaging  computational neuroscience  

Tony Kouzarides

t.kouzarides@gurdon.cam.ac.uk

Biological  Genetics  

Prof Kouzarides works on characterising the pathways that mediate and control DNA, RNA and histone modifications. His group research aims to understand the cellular processes they regulate, their mechanism of action and their involvement in cancer.

transcription  cancer  epigenetic modifications  chromatin  

Joan Lasenby

jl221@cam.ac.uk

Physical  Imaging  

Prof Lasenby's research interests include: 3D reconstruction from multiple cameras; human motion analysis; optical motion capture; applications of Geometric Algebra in engineering; non-invasive monitoring techniques in medical applications; sports engineering.

medical applications  3D reconstruction  human motion analysis  sport engineering  

Pietro Liò

pietro.lio@cl.cam.ac.uk

Computer Science & Technology  Technology  

Prof Liò's research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling.

machine learning  AI  computational biology  graph neural network modeling  

George Malliaras

gm603@cam.ac.uk

Technology  Bioelectronics  

Prof Malliaras' research is on bioelectronics. His group studies the fundamental processes that take place at the abiotic/biotic interface and develop better tools for healthcare. Research themes include the development and translation of implantable and wearable devices that interface with electrically active tissues, with applications in neurological disorders and brain cancer.

cancer  implantable/wearable devices  neuroengineering  drug delivery  

Cecillia Mascolo

cecilia.mascolo@cl.cam.ac.uk

Technology  Computer Science & Technology  

Prof Mascolo's research concentrates on aspects related to the efficient and effective use of mobile and wearable systems to understand human behaviour and mobile health. Her lab concentrates on applications related primarily to mobile health.

mobile health  digital biomarker  machine learning  mobile systems  

Patrick Maxwell

regius@medschl.cam.ac.uk

Nephrology  Medicine  

Prof Maxwell, a clinician scientist, has been centrally involved in a series of discoveries that have revealed how changes in oxygenation are sensed, and how genetic alterations cause kidney disease. It has had a major impact on the understanding of tumour biology, anaemia, and inflammatory disorders.

nephrology  biomedical/clinical research  infflammatory disorder  tumor biology  

David Menon

dkm13@cam.ac.uk

Medicine  Anaesthesia  

Prof Menon’s research interests include neurocritical care, secondary brain injury, neuroinflammation, and metabolic imaging of acute brain injury. He has also published on the physiology of coma and the vegetative state, and on mechanisms of anaesthetic action in the brain.

neurocritical care  secondary brain injury  neuroinflammation  metabolic imaging  

Andy Parker

map1001@cam.ac.uk

Physical  Partical Physics  

Prof Parker’s current research interests involve experiments to reveal new physics such as extra space dimensions, quantum-sized black holes, and supersymmetry. He has worked with the Oncology Department on computational methods for radiotherapy, including the Voxtox and Radnet projects.

ATLAS  supersymmetry  computational methods for radiotherapy  oncology  

Richard Prager

rwp@eng.cam.ac.uk

Technology  Imaging Technology  

Prof Prager's research has included new fast and accurate calibration systems for tracked 3D ultrasound, the development of a high definition tracked 3D ultrasound system, innovative work on image-based freehand 3D ultrasound without an external tracking device, real-time 3D ultrasound deconvolution for image enhancement and three-dimensional elastography.

bioengineering  ultrasound imaging  non-invasive diagnostics  

James Rudd

jhfr2@cam.ac.uk

Medicine  Cardiovascular Research  

Professor Rudd's research interests are in vascular imaging, using CT, MRI and nuclear methods. He applies biomechanical, mathematical methods and AI to refine risk on top of imaging and demographic factors. He works across disease states, including stroke, ischaemic heart disease, peripheral vascular disease, aortic aneurysm, rheumatoid arthritis and pulmonary hypertension. He also has expertise in electronic healthcare record research and is deputy chief clinical information officer at Addenbrooke's Hospital.

pathophysiology  cardiovascular  imaging  AI  bioengineering  HER  

Richard Samworth

r.samworth@statslab.cam.ac.uk

Physical  Mathematical Statistics  

Prof Samworth's main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problem. Further applciations include public health, genetics, archaeology and oceanography.

high-dimensional statistics  public health  genetics  nonparametric  

Hitesh Sanganee

Medicine  Respiratory System  

Dr Sanganee joined AstraZeneca as a Medicinal Chemist conducting research within respiratory & inflammation related disease areas and has led teams to successful milestone transitions in all phases of drug discovery. He then moved on to become a candidate drug Associate Director. He currently leads the ‘Emerging innovations’ group. Promotion of entrepreneurial activity within and outside of AZ and bringing emerging innovations into AZ.

inflammation  drug discovery  innovation  

Jacob Stegenga

jms303@cam.ac.uk

Humanities  Philosophy of Science  

Prof Stegenga has published widely on fundamental topics in reasoning and rationality and philosophical problems in medicine and biology. He is the author of Medical Nihilism and Care and Cure: An Introduction to Philosophy of Medicine, and he is currently writing a book on the sciences of sexual desire.

philosophy  medicine  biology  

Jason Tarkin

jt545@cam.ac.uk

Medicine  Cardiovascular Research  

Dr Tarkin's current research programme aims to examine potential clinical translational applications of somatostatin receptor PET/MRI as a marker of inflammation for studying disease mechanisms, use in drug discovery and guiding novel therapies in high-risk patients with cardiovascular disease and large vessel vasculitis.

drug discovery  medical applications  cardiovascular  inflammation  

Sarah Teichmann

sat1003@cam.ac.uk

Biological  Genetics  

Dr Teichmann's research investigates gene expression and protein complex assembly using both wet laboratory and computational biology techniques. In particular her research group seeks to elucidate the principles of protein structure evolution, higher order protein structure and protein folding, and the principles underlying protein complex formation and organization.

genomics  bioinformatics  biophysics  immunology  

Brian Tom

brian.tom@mrc-bsu.cam.ac.uk

Medicine  Biostatics  

Dr Tom is a research statistician at the Medical Research Council Biostatistics Unit. His current research interest includes causal inference, chronic disease epidemiology (in particular related to inflammatory arthritis), dynamic graphical modelling of stochastic processes, efficiency, modelling of longitudinal and correlated data, multi-state models and survival data, stratified medicine.

stratified medince  chronic disease  infllammatory arthritis  modelling  

Mihaela van der Schaar

mv472@cam.ac.uk

Applied Mathematics  Physical  

Prof van der Shaar's research develops cutting-edge machine learning & AI theory and methods, with the goal of improving healthcare and medical knowledge. Her team is one of the most impactful and diverse ones in the field, employing a wide range of ML approaches including deep learning, causal inference, AutoML, time series analysis, ensemble learning, and many more.

image processing  machine learning  medical applications  game theory  distributed systems