Kelly Stanton is a founder and quantitative researcher with 10+ years of experience applying deep learning, statistical modeling, and first-principles thinking to healthcare, genomics, and financial markets. She has led end-to-end AI pipelines from embedded C on medical devices to cloud-based IoT monitoring and FDA-designated algorithms that unlocked Medicare reimbursement and attracted Series C/D investment. As VP of Data Science she authored clinical biostatistics and NIH SBIR-winning grant work, and more recently founded an AI-driven options trading system combining reinforcement learning, generative models, and robust risk controls. Comfortable translating complex methods for investors, regulators, and clinicians, she bridges rigorous research with product and commercial outcomes. Based in Pflugerville, TX, her background spans academia (PhD Yale) to startup cofounding, with a knack for shipping regulated ML into production environments.
10 years of coding experience
15 years of employment as a software developer
Bachelor's of Science, Biomedical/Medical Engineering, Bachelor's of Science, Biomedical/Medical Engineering at The University of Texas at Austin
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Yale University
Contributions:3 releases, 50 commits, 50 pushes in 2 years 3 months
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