Bomin Kim
Quantitative Analytics Sr Manager
McLean, Virginia, United States
Summary
👤
Senior🎓
Top SchoolBomin Kim is a quantitative analytics leader with a PhD in Statistics and over a decade of experience translating advanced statistical methods into production-ready analytics at Freddie Mac. His research blends dynamic network analysis, Bayesian inference, and text-as-data approaches—skills he developed modeling UN voting and government email networks during his dissertation. At Freddie Mac he has progressed from senior quantitative roles to managing macro, housing economics, and quantitative analytics teams, driving methodological rigor in risk and policy analysis. He combines academic depth from Penn State with practical financial-sector impact, and maintains a public research footprint through his website and GitHub. Unusually for a manager, he continues to publish and implement complex continuous- and discrete-time network models, bridging cutting-edge research and applied decision-making.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Penn State UniversityBachelor's degree, Statistics, Bachelor's degree, Statistics at Korea UniversityHankuk Academy of Foreign Studies
English, Korean, Chinese
Github Skills (5)
social-network-analysis8
topic-modeling8
mcmc8
bayesian-inference8
topic-models6
Programming languages (1)
Github contributions (5)
bomin8319/DAME_old
Feb 2020 - Nov 2020
Contributions:19 commits, 6 pushes, 1 branch in 8 months
desmarais-lab/IPTM
May 2016 - Jul 2018
Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach
Contributions:180 commits, 558 pushes, 3 branches in 2 years 2 months
topic-modelstopic-modelingsocial-network-analysismcmcbayesian-inference
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