Dan Sosa is an entrepreneur and AI researcher with 14 years of experience applying NLP and large language models to machine reasoning in healthcare, currently co-founding Parsnip to build personalized learning experiences. He holds a Ph.D. in Biomedical Informatics from Stanford and has led projects that synthesize knowledge from millions of scientific articles to surface drug repurposing opportunities and detect contradictory claims at scale. Dan bridges rigorous academic research—knowledge graphs, KG embeddings, and LLM fine-tuning—with product-focused startup execution, including selection into StartX’s AI Series and full cohort. He brings multidisciplinary training from MIT in computer science and molecular biology, practical analytics experience across industry internships, and a knack for turning complex biomedical knowledge into actionable systems. Outside work he’s a committed musician and dedicated tastings-driven oenophile/beer sampler, reflecting a creative streak that informs his human-centered tech work.
14 years of coding experience
10 years of employment as a software developer
Master of Engineering (M.Eng.), Computer Science & Molecular Biology, Master of Engineering (M.Eng.), Computer Science & Molecular Biology at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Biomedical Informatics (BMI), Doctor of Philosophy - PhD, Biomedical Informatics (BMI) at Stanford University
TransVar - multiway annotator for precision medicine
Contributions:1 PR, 1 push in 1 day
nlpprecision-medicinemultiwayannotatorprecision
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