Connor Lawless
Postdoctoral Researcher at Stanford University
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolConnor Lawless is a postdoctoral researcher at Stanford MSE with a PhD in Operations Research from Cornell, specializing in human-centered AI systems that blend machine learning, computational optimization, and HCI. He brings a decade of experience across academia and industry, from building a deployed deep reinforcement learning trade-execution algorithm at RBC to interpretable clustering research at IBM and LLM-driven constraint programming at Microsoft Research. Connor has a strong track record of translating research into practical tools and interfaces—he built production dashboards that improved trust and adoption on trading floors and contributed AAAI-accepted work on interpretable clustering. He also cares about training the next generation of data scientists, having led global instructional programs, and outside work he’s an avid hiker who’s visited 27 national parks.
9 years of coding experience
6 years of employment as a software developer
Data Science, Data Science at iXperience Summer ProgramOSSD, OSSD at Abbey Park High SchoolDoctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Cornell UniversityBachelor of Applied Science (BASc) Industrial Engineering, Bachelor of Applied Science (BASc) Industrial Engineering at University of Toronto
English, French, German
Github Skills (5)
python3
science3
data-science2
testing2
dynamic-programming1
Programming languages (1)
Github contributions (5)
conlaw/DecisionRulesColumnGen
Jan 2020 - Mar 2021
Contributions:60 pushes, 2 branches in 1 year 1 month
jeffchang5/SQLiter
Jun 2016 - Sep 2016
Contributions:32 pushes, 2 comments, 2 issues in 3 months
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