Iris Kim
Research Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolIris Kim is a JD candidate at George Washington University with a BA in Data Science from UC Berkeley and 12 years of cross-disciplinary experience at the intersection of data, healthcare, and cloud technology. She has applied advanced ML, NLP, and predictive modeling to clinical EHR data at UCSF to improve ocular diagnostics and clinical decision support, and has operationalized data workflows using R, SQL, Databricks, and Azure. Before law school she managed enterprise accounts at AWS, translating technical cloud solutions into business impact and building trusted client relationships. Now a Summer Associate at Gibson Dunn, she is combining legal training with deep technical fluency to focus on technological regulation and the societal implications of AI/ML. Colleagues describe her as a pragmatic problem-solver who moves smoothly between hands-on research coding and client-facing strategy. An early contributor to large-scale data projects (including a 1+ TB web-scraping API at Berkeley), she brings both reproducible research rigor and commercial perspective to emerging tech policy challenges.
12 years of coding experience
3 years of employment as a software developer
Undergraduate Data Science, Undergraduate Data Science at University of California, BerkeleyMills High SchoolWalnut Hills High School
Korean, Spanish, English
Github Skills (54)
chat7
react6
zulip6
control-center5
pygobject5
gnome5
gjs5
messaging5
android-client5
xmpp5
gitlab4
fault-tolerant4
jabber4
erlang4
fault4
Programming languages (6)
Github contributions (5)
irisgyq/lets-chat
May 2015 - May 2015
Contributions:2 PRs, 27 pushes, 2 branches in 1 day
chat-apphostedreactchat
irisgyq/depot
Jan 2018 - Mar 2018
Contributions:15 pushes, 1 branch in 1 month
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