Linda Cai
Postdoctoral Researcher at University of California, Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolLinda Cai is a ten-year seasoned researcher and engineer specializing in designing mechanisms and algorithms that deliver provable, approximately optimal outcomes with strong theoretical guarantees. Currently a postdoc in EECS at UC Berkeley working at the intersection of machine learning and incentives under Michael Jordan, she brings deep expertise from a Princeton PhD focused on algorithmic game theory, online algorithms, and matching. Her work spans high-impact academic publications and industry internships, including Microsoft Research and Jump Trading, where she paired rigorous analysis with practical system speedups. Notably, she has translated theory into dramatic performance gains—such as massive device placement accelerations—and enjoys connecting technical work with real-world systems, conference travel, and a penchant for non-fiction, coffee, and snowboarding.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at University of Illinois Urbana-ChampaignDoctor's Degree Computer Science, Doctor's Degree Computer Science at Princeton University
English, Chinese, Spanish
Github Skills (6)
collector3
garbage2
robot2
garbage-collector1
robotics1
ros1
Programming languages (1)
Github contributions (5)
lindaCai1997/lindaCai1997.github.io
Jun 2019 - Mar 2025
Contributions:51 pushes, 1 branch in 5 years 10 months
lindaCai1997/UVA_problem_sets
Feb 2016 - Sep 2016
Contributions:125 pushes, 3 branches in 7 months
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