Summary
Alexander Fields is a director-level bioinformatics and ML/AI leader with 11 years of experience translating quantitative biology into production-ready data science at companies like GRAIL and Moonwalk Biosciences. Trained as a biophysicist (PhD, Harvard) with early hands-on fluorescence and chemical synthesis work at Stanford, he bridges experimental design and computational modeling to extract biological insight from large sequencing and spectroscopy datasets. He has a track record of developing mathematical frameworks—drawing on statistical mechanics, Bayesian methods, and machine learning—to both interpret experiments and drive product analytics. Comfortable leading cross-disciplinary teams, he scales rigorous research into deployable pipelines and models for functional genomics and molecular diagnostics. An underappreciated strength is his ability to move between bench experiments and probabilistic theory, enabling tighter feedback between data collection and model-driven hypothesis testing.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Biophysics, Doctor of Philosophy (PhD), Biophysics at Harvard University
Bachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Stanford University