David Wooten is an Associate Director in Oncology Bioinformatics with a PhD in Computational Biology and over a decade of research applying mathematical reasoning to biomedical big data. He builds mechanistic, interpretable models—like BooleaBayes and the widely used MuSyC framework—and maintains a popular Python "synergy" library for quantifying drug combination effects. His work spans machine learning, quantitative systems pharmacology, and transcription factor network inference, with applications uncovering drivers of drug resistance in small-cell lung cancer and AML. Based in Birmingham, AL, he bridges academic rigor and industry-scale bioinformatics at Invitae, and has a curious history of creating sensors and topological data tools during earlier research that informs his multiscale systems thinking.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at New Mexico Institute of Mining and Technology
Doctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at Vanderbilt University
Contributions:30 pushes, 1 branch in 1 year 2 months
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David Wooten - Associate Directory, Oncology Bioinformatics