Lilia Chang
Machine Learning Engineer at Marker Learning
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLilia Chang is a machine learning engineer in the San Francisco Bay Area with nine years of experience delivering ML-powered products and research. She is currently a Machine Learning Engineer at Marker Learning, building systems to operationalize ML in learning and decision-making contexts. Stanford-educated data scientist, she earned a BS in Mathematical and Computational Sciences and an MS in ICME, and she collaborated with economists on causal inference for the Future of Work, including Bayesian factorization models under Susan Athey. Her career spans production ML roles at Sigma Computing and underwriting analytics work at Upstart, complemented by research internships at Microsoft Research, ProPublica, NYT, and Facebook, illustrating breadth from research to production. Committed to the intersection of computer science, economics, and statistics, she translates rigorous analysis into practical, auditable systems with real-world impact.
9 years of coding experience
5 years of employment as a software developer
Weston High SchoolMaster of Science - MS Institute of Computational and Mathematical Engineering (ICME), Master of Science - MS Institute of Computational and Mathematical Engineering (ICME) at Stanford University
Github Skills (2)
python2
phone-numbers2
Programming languages (1)
Github contributions (5)
newsdev/fbworld
Nov 2017 - Dec 2017
Contributions:33 pushes, 1 branch in 27 days
liliachang/Twitter
Jun 2016 - Sep 2016
Contributions:9 pushes, 1 branch, 1 issue in 2 months
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