Deep learning for Biologics @ Oxford Protein Informatics Group
Schmidt Science Fellow | Postdoc @ Stanford | Prev. DPhil @ Oxford || ML for Biomolecular Modeling & Design
ML for antibody drug discovery | PhD Student at University of Oxford | Royal Commission 1851 Industrial Fellow
Physicochemical deep learning, protein-ligand docking and scoring, computer-aided drug discovery and design, cheminformatics. All views my own. @morrislab@fediscience.org 🏳️🌈🇪🇺
PhD candidate studying cancer evolution @icr.ac.uk | MBiochem grad @ox.ac.uk | she/her
Oxford University's Medical Sciences Division is an internationally recognised centre of excellence for biomedical and clinical research and teaching, comprised of 16 core departments and the School of Medicine and Biomedical Sciences. www.medsci.ox.ac.uk
Florence Nightingale Bicentenary Fellow, Oxford Statistics | Former Postdoc UCLA, DPhil (PhD) Oxford
https://fimrie.github.io/
PhD student @ Oxford | Researching AI for drug discovery in the Oxford Protein Informatics Group
Prescient Design, Genentech | Formerly OPIG, University of Oxford.
We are a University of Oxford department specialising in cardiovascular medicine, metabolism, haematology and immunology. www.rdm.ox.ac.uk
We are research software engineers and data scientists connecting research to applications at The Alan Turing Institute, the UK's national institute for data science and AI.
Research group led by Charlotte Deane, based in the Department of Statistics at the University of Oxford.
https://opig.stats.ox.ac.uk/
The MRC WIMM is a research institute at the University of Oxford with 5 core research areas: rare diseases, haematology, immunology and infection, stem cells and developmental biology and cancer biology.
www.imm.ox.ac.uk
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