Founding Member Of Technical Staff at Edison Scientific
San Francisco, California, United States
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Summary
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Senior
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Top School
Conor Igoe is a machine learning researcher and founding member of technical staff on the AI Research team at Edison Scientific, based in San Francisco, with 11 years of experience bridging academic research and product-focused ML engineering. He completed a PhD in Machine Learning at Carnegie Mellon, where his work and committee roles showed deep engagement with reinforcement learning and experimental design. Conor has interned on applied ML problems across industry—accelerating scientific hypothesis generation and using Bayesian optimization and deep RL for drug discovery—demonstrating a knack for turning complex research into practical pipelines. He combines a strong electronics engineering foundation from University College Dublin with hands-on experience in both startup and lab settings, often contributing to admission and review processes that shape research programs. Notably, his trajectory reflects a pattern of rapidly translating PhD-level RL expertise into roles that influence real-world scientific workflows and product roadmaps.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE Electronic Engineering, Bachelor of Engineering - BE Electronic Engineering at University College Dublin
Doctor of Philosophy - PhD School of Computer Science - Machine Learning Department, Doctor of Philosophy - PhD School of Computer Science - Machine Learning Department at Carnegie Mellon University
Contributions:44 commits, 30 pushes, 1 branch in 29 days
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Conor Igoe - Founding Member Of Technical Staff at Edison Scientific