Takumi Matsuzawa is a postdoctoral researcher and experimental physicist with nine years of experience harnessing advanced instrumentation, machine learning, and large-scale data pipelines to probe complex fluid and biological systems. At Cornell he studies biomolecular condensate dynamics as a Schmidt Science Fellow, building on a PhD at the University of Chicago where he designed multi-camera, pulsed-laser volumetric acquisitions for turbulence and built a >20k-line Python library that reduced terabytes of raw imagery to manageable statistical datasets. He combines hands-on hardware engineering with computational depth—developing a CNN-based optical-flow estimator for particle image velocimetry and mentoring students in ML-driven vortex dynamics and 4D visualization. Comfortable across experiments, simulations and code, he brings a track record of turning intractable data volumes into actionable science and an eye for transferable methods spanning fluid dynamics and biophysics.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), Physics and Chemistry, Bachelor of Arts (B.A.), Physics and Chemistry at Kalamazoo College
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Chicago
Contributions:152 commits, 147 pushes, 3 branches in 3 years 9 months
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Takumi Matsuzawa - Postdoctoral Researcher at Cornell University