Marc Williams
Postdoctoral Researcher at Memorial Sloan Kettering Cancer Center
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMarc Williams is a postdoctoral researcher based in New York with 11 years of quantitative research experience and over five years focused on analyzing genomics datasets in oncology. He combines a PhD in Computational Biology from UCL and an MPhys in Physics with deep expertise in bulk high-throughput assays and cutting-edge single-cell technologies to study genomic instability and cancer evolution. At Memorial Sloan Kettering he integrates single-cell genomics with ctDNA and liquid biopsies to trace tumor evolution, building on prior method development work at Queen Mary University of London. Marc brings a strong computational physics background to biological problems, often blending statistical rigor with experimental insight to infer evolutionary trajectories from noisy data.
11 years of coding experience
1 year of employment as a software developer
MPhys, Physics, MPhys, Physics at The University of ManchesterUniversity College London
Stackoverflow
41reputation
250reached
0answers
2questions
Github Skills (85)
specificity10
approximate10
genomes10
rna-seq10
stan10
estimate10
bioinformatics10
computation9
stochastic-processes9
stochastic-differential-equations9
julia9
ode9
abc9
bayesian-inference9
genomics9
Programming languages (6)
Github contributions (5)
marcjwilliams1/CancerSeqSim.jl
Mar 2017 - May 2019
Contributions:2 releases, 3 PRs, 59 pushes in 2 years 1 month
marcjwilliams1/svtyper
Jan 2023 - Feb 2025
Bayesian genotyper for structural variants
Contributions:3 releases, 10 PRs, 16 pushes in 2 years 2 months
bioinformaticsbayesianstructural-variantsstructural
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