Summary
Andrew Davis is a Senior Data Scientist in Seattle with a PhD in Earth and Atmospheric Science and over a decade of hands-on experience applying AI/ML to real-world problems. He has led development and production deployment of machine learning and LLM platforms for antibody discovery and immunohistochemistry at Pfizer and Seagen, and previously built scalable, privacy-aware AI systems for IoT applications in energy, security, and eldercare. His background in climate and oceanography research informs a strong foundation in signal processing, pattern recognition, and robust feature engineering across noisy, heterogeneous datasets. Known for bridging research and product delivery, he also designs internship and mentorship programs that translate novel algorithms into usable federated platforms. An aptitude for crafting explicable models from sparse observations distinguishes his work beyond typical ML engineering roles.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Earth and Atmospheric Science, Doctor of Philosophy (Ph.D.), Earth and Atmospheric Science at Georgia Institute of Technology
Waseda University
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Carleton College
English, Japanese, German