Todd Anderson is a scientist with 15 years of experience specializing in visual-domain machine learning and deep learning at scale, based in Portland, Oregon. He holds a PhD in Computational Biology from Stanford and transitioned from academic research—including a Stanford postdoc—into applied ML roles across startups and research-driven companies. Since 2017 he has been developing production-focused visual AI at Intuition Machines and a stealth company, bringing rigorous experimental design to real-world deployment challenges. His background in neuroscience and computational biology informs a data-driven, biologically inspired approach to model design and interpretability. Colleagues describe him as comfortable bridging theory and engineering, able to move from conceptual research questions to scalable implementations. Outside core ML work he has a track record of sustaining multi-year research programs and shipping robust scientific software.
15 years of coding experience
4 years of employment as a software developer
BA Neuroscience, BA Neuroscience at Pomona College
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Stanford University
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Todd Anderson - Scientist at Intuition Machines, Inc.