Immune repertoire analysis
Analysis of TCR and BCR sequencing data, including clonality and diversity, repertoire comparisons across cohorts, antigen-associated sequence discovery and interpretation.
Computational Biology & Immunology Consulting
I help biotech and research teams get answers from complex biological data. My focus is applying machine learning to high-dimensional data, particularly immunological data.
Services
Machine learning methods
Developing, benchmarking, and validating machine learning models from classical methods to deep learning, for high-dimensional biological data.
Scientific & technical advising
Independent review of methods, analysis plans, and results. I can help with scoping computational work and advise teams that are building computational biology capacity.
My core focus is immunology. I also take on broader computational biology projects, drawing on many years of work in proteomics and genomics.
About
DM Bioscience is my consulting practice. I'm Damon May, PhD, a computational biologist based in Seattle, WA.
I spent more than seven years in computational immunology at Adaptive Biotechnologies, most recently as Principal Computational Biologist and before that as Associate Director of ML Methods. Earlier in my career, I spent 14 years in computational proteomics and 7 years in software development.
Education
- PhD, Genome Sciences, University of Washington
- MS, Computer Science, University of Washington
- BS, Computer Science, Yale University