Tianyu Wang is an Assistant Professor based in Boston with eight years of experience at the intersection of biomedical optics, optical information processing, and AI for science. His work spans pioneering microscopy methods—co-developing three-photon calcium imaging and a large-field-of-view three-photon microscope—to inventing ultra-energy-efficient optical neural networks that demonstrated sub-photon-per-multiplication computation. As a Schmidt AI in Science Postdoc Fellow and Cornell postdoc, he translated optical computing into accelerated image sensing and built an ultra-low-loss spectrometer for multimode quantum light detection. He combines deep experimental skill (including in vivo surgical techniques) with theoretical and systems-level thinking to push both fundamental photonics and practical AI-enabled instrumentation. Notably, his lab blends optics and machine learning to reimagine how sensing hardware itself can compute, reducing energy and latency in scientific imaging.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Applied Engineering Physics, Doctor of Philosophy - PhD Applied Engineering Physics at Cornell University
Engineering Physics/Applied Physics, Engineering Physics/Applied Physics at Shanghai Jiao Tong University
Contributions:1 PR, 2 pushes, 2 branches in 3 years 10 months
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Tianyu Wang - Assistant Professor at Boston University