Weidong Xu is a research scientist in Boston with eight years of experience at the intersection of machine learning, computational science and experimental biology. He holds a Ph.D. in Chemistry and Chemical Biology and an S.M. in Computational Science from Harvard, and applies deep learning and data-driven methods to real-world scientific problems at Meta. His background includes hands-on work on super-resolution imaging and programmable autonomous blinking at the Wyss Institute and building ML-based road services during a Facebook internship, reflecting an uncommon blend of wet‑lab expertise and production ML engineering. Comfortable moving between research and software development, he delivers reproducible, scalable solutions that connect complex experimental workflows to modern ML tooling.
8 years of coding experience
4 years of employment as a software developer
Master of Science (S.M.), Computational Science and Engineering, Master of Science (S.M.), Computational Science and Engineering at Harvard University
Bachelor of Science (B.S.), Chemical Biology, Bachelor of Science (B.S.), Chemical Biology at Tsinghua University
Contributions:104 commits, 4 pushes in 1 year 1 month
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