Taro Makino is a Research Scientist based in Tokyo with 13 years of experience applying machine learning to high-stakes domains, now building reliable AI agents for enterprise financial applications at Sakana AI. He holds a Ph.D. in Machine Learning from NYU (advised by Kyunghyun Cho and Krzysztof Geras) and an MS in AI from Edinburgh, bringing rigorous statistical grounding and a track record in detecting and mitigating spurious correlations in medical and biological data. His recent industry work includes ML-driven drug discovery internships at Genentech and Prescient Design, giving him practical experience translating research into domain-specific solutions. Known for bridging deep research with production needs, he focuses on robustness and reliability rather than black-box performance gains.
Contributions:6 commits, 4 pushes, 1 branch in 3 months
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