Yizhi Wang
Virginia, United States
Summary
👤
Senior🎓
Top SchoolZhe Wang is a PhD candidate at Virginia Tech specializing in computational chemistry, machine learning, and GPU-accelerated numerical methods, with eight years of experience applying data-driven solutions to research and real-world problems. He leads project teams and develops Python-based scientific software (including a PyTorch-enabled package) that has produced a peer-reviewed publication, a manuscript in progress, and multiple conference presentations. Skilled in data preprocessing, modeling, feature engineering, and quantitative analysis, he has delivered high-accuracy predictive models and actionable insights for industry-focused virtual projects. A seasoned communicator and instructor who has taught over 200 students, Zhe combines organized, analytical thinking with fast learning and a sustained curiosity about how data technologies impact everyday life. Notably, his work bridges bioinformatics/bio-image analysis and scalable GPU implementations, making him adept at turning computational research into deployable tools.
8 years of coding experience
Virginia TechMaster of Science (MS), Microelectronics, Master of Science (MS), Microelectronics at Fudan UniversityFuxing Senior High School
Github Skills (5)
imaging9
fiji9
image-analysis8
microscopy7
rust1
Programming languages (3)
Github contributions (5)
freemanwyz/BeadQuant
Oct 2018 - Jan 2024
Contributions:5 pushes, 1 branch in 5 years 3 months
yu-lab-vt/SynQuant-data
Jun 2019 - Jan 2024
Contributions:1 push, 1 branch in 4 years 8 months
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