Debbie Marks has been elected into the Fellowship of the Royal Society! Recognised for her work at the intersection of machine learning and biology, including foundational methods in evolutionary sequence modelling and their application to protein design and clinical variant interpretation. She joins this year's cohort of over 90 new Fellows elected to the UK's national academy of sciences. Read more here.
Check out PopEVE (paper, online portal), our most recent work on population genetics!
Discovery and design: learning from billions & billions of genomes, cells, and organisms
We build models to make sense of genetic variation and design biological tools for environmental and human health.
Research
design of machine learning models
mutant effect prediction
clinical diagnostics
antibiotic resistance
protein design
protein & RNA structure
neurodegenerative diseases
disorder, gels, biostasis
virus evolution
antibody design
publications
talks
