Summary
Ohi Dibua is a Machine Learning Research Engineer II at Adobe with eight years of experience blending physical modeling, statistics, optimization, and machine learning to solve real-world problems. He holds a PhD and MS in Mechanical Engineering from Stanford, where he led interdisciplinary projects combining experiments, computational modeling, and uncertainty quantification. At Adobe and previously at Nines, Ohi has shipped full-stack ML solutions for experimental design and medical data generation, pairing research rigor with production-focused engineering. His early work spans high-impact internships at MIT and NSF, where he built data-driven tools and visualizations to support research programs. Colleagues describe him as someone who comfortably moves between lab benches and codebases, turning complex physical systems into tractable models and deployable ML workflows. Based in New York, he brings a strong applied-math mindset to product-scale machine learning challenges.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Minor, Minor, Mechanical Engineering, Mathematics, Economics, A, Bachelor of Science (BS), Minor, Minor, Mechanical Engineering, Mathematics, Economics, A at University of Pittsburgh
Doctor of Philosophy - PhD, Mechanical Engineering, A, Doctor of Philosophy - PhD, Mechanical Engineering, A at Stanford University