Junyoung Kim
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJunyoung Kim is a computational research assistant and MA Statistics candidate at Columbia University with roughly a decade of applied experience bridging probabilistic machine learning, causal inference, and biomedical informatics. Currently working on phenotype-driven gene prioritization and affiliated with Boston Children's Hospital and a causal inference learning collective, Junyoung combines statistical rigor with hands-on AI work in computer vision and recommendation systems. He has led data-driven studies from packaging company big-data analyses to macroeconomic COVID-19 impact assessments, demonstrating an ability to translate domain questions into robust statistical tests and predictive models. Technical fluency includes R and Python, with growing SQL skills, and practical experience teaching machine learning for social science. Colleagues note his cross-cultural academic trajectory—from Chung-Ang University to Columbia and research internships in the U.S.—which informs a collaborative, multidisciplinary approach. A huge basketball fan and foodie, he brings curiosity and an uncommon mix of biomedical and industrial data experience to computational research problems.
10 years of coding experience
5 years of employment as a software developer
Bachelor, Applied Statistics, Bachelor, Applied Statistics at Chung-Ang UniversityMaster of Arts - MA, Statistics, Master of Arts - MA, Statistics at Columbia UniversityDoctor of Philosophy (PhD), Biomedical Informatics, Doctor of Philosophy (PhD), Biomedical Informatics at UTHealth Houston
Github Skills (13)
cpp6
oneapi6
x86-645
openmp5
icecream5
tbb4
flower4
deep-learning4
python3
sycl3
neural-network3
deep-neural-networks3
javascript2
Programming languages (3)
Github contributions (5)
byeongjee/Postech-SD-project
Nov 2018 - Dec 2018
Contributions:72 commits in 1 month
junyoungkim22/instaquiz
Feb 2019 - Apr 2019
Contributions:46 pushes, 3 branches in 1 month
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