Wenyan Bi

Postdoctoral Associate

New Haven, Connecticut, United States
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Summary

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Senior
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Top School
Wenyan Bi is a Postdoctoral Associate at Yale specializing in computational models of human visual perception, with eight years of experience bridging probabilistic modeling, physics-based simulation, and perceptual experiments. She designs and implements generative physics engines and online Bayesian inference pipelines—often combining Julia/Gen particle filters with C++/Python simulation and Singularity containers—to probe how observers infer material properties like cloth behavior. Her skill set spans deep learning (TensorFlow, PyTorch), high-performance rendering and simulation (Nvidia FleX, Blender), VR/Unity development, and large-scale psychophysics via web crowdsourcing and fMRI. Wenyan’s work uniquely integrates graphics, psychophysics, and probabilistic programming to make inference about the physical world tractable and testable in humans. Based in New Haven, she pairs rigorous experimental design with production-ready engineering across HPC and cloud environments.
code9 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Cognition and Neuroscience, 3.85/4.0, Doctor of Philosophy - PhD, Cognition and Neuroscience, 3.85/4.0 at American University
bookBachelor's degree, PSYCHOLOGY, 88.8/100, Bachelor's degree, PSYCHOLOGY, 88.8/100 at Beijing Normal University
languagesEnglish, manderine chinese
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Github Skills (1)

abstraction8

Github contributions (5)

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Contributions:41 commits, 1 PR, 38 pushes in 3 years 3 months
videoabstractionreal-time
Contributions:12 commits, 11 pushes, 1 branch in 1 year 6 months
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