Kun Dong
Research Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKun Dong is a research scientist at Meta in Seattle with nine years of experience bridging applied mathematics and production systems. He holds a PhD in Applied Mathematics from Cornell where he worked on numerical linear algebra under David Bindel, and his research spans spectral graph theory, optimization, machine learning, and NLP. Past internships at Google and Berkeley Lab translated theory into production and large-scale speedups, including a datacenter topology design deployed to production and a 100x-accelerated electron-structure algorithm on supercomputers. Comfortable moving ideas from algorithms to robust implementations, he combines deep theoretical rigor with practical systems engineering. An uncommon thread in his career is frequent cross-domain impact—from computational chemistry to SDN—highlighting a knack for applying numerical methods to diverse, real-world problems.
9 years of coding experience
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Cornell UniversityUniversity of California, Los Angeles
English, Chinese
Github Skills (1)
machine-learning1
Github contributions (5)
kd383/NetworkDOS
Feb 2019 - Jul 2019
Contributions:26 commits, 24 pushes, 1 branch in 5 months
kd383/kd_thesis
Jun 2019 - Aug 2019
Contributions:16 commits, 14 pushes, 1 branch in 1 month
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