傅金宇
Gene (Jinyu) Fu

Biophysics meets data science. Biology meets innovation. I’m a multidisciplinary scientist blending physics, molecular biology, and computational modeling to decode the mechanics of life at the cellular level.

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Currently finishing my Ph.D. in Physics & Astronomy at Johns Hopkins University, I design advanced technologies to measure cell volume, mass, and density—then use MATLAB, Python, and machine learning to turn raw imaging into discovery. From running high-throughput experiments to developing theoretical models, I specialize in solving complex biological problems with precision, creativity, and code.

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My work has been published in top journals (including a first-author paper in Science Advances) and presented at national conferences. Beyond the lab, I’ve mentored 500+ students, led award-winning teaching programs, and built cross-disciplinary collaborations that move research forward.

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Now seeking research, data science, or biotech roles starting Fall 2025 (OPT-ready)—where I can apply my imaging, coding, and analytical expertise to accelerate breakthrough science and innovation.