Aaron Bell is a data science leader and former astronomer with 11 years of experience applying machine learning to real-world problems across industry and academia, currently managing the Data Science Group for Takeda in Japan. He has driven DX and AI integrations at Sumitomo’s in-house engineering arm, advised manufacturing clients on anomaly detection and generative-AI best practices, and led technical due diligence for VC/M&A activities. His background spans deep scientific research—including a PhD in astrophysics, NASA/FDL projects on astrobiology and all-sky infrared data—and hands-on ML engineering for computer vision and geospatial problems. Comfortable bridging research and product, he routinely translates complex scientific methods into operational systems and has a track record of mentoring and onboarding cross-functional teams. An unexpected strength: he pairs rigorous academic inquiry with client-facing consulting experience, making him equally fluent in research semantics and business impact.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Carol M. Gatton Academy of Mathematics and Science
High School, High School at Home Schooled
University of Tokyo
Bachelor’s Degree Double-Major in Biology and Physics, Bachelor’s Degree Double-Major in Biology and Physics at Western Kentucky University
Contributions:12 PRs, 130 pushes, 12 branches in 1 year 6 months
placetelescopesprocess-datadustunlock
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