Billy Jin
· Assistant ProfessorPurdue University · Quantitative Methods
h-index—
Citations—
Papers—
Funding—
About
My research interests lie in the union of online decision-making, stochastic optimization, and approximation algorithms. A focus of my recent research has been on advice-augmented algorithms, which use some advice or prediction (e.g. from historical data, forecasts, or expert advice), whose quality is unknown. I aim to design algorithms that perform well when the quality is high, yet remain robust in their performance even when the quality is low.
Awards & honors
- NSERC graduate fellowship
- 2023 Student Paper Prize awarded by the INFORMS Decision Ana…
- runner-up in the 2023 Student Paper Prize awarded by the INF…
- Best Flash Talk at the 2019 YinzOR Student Conference
Similar researchers at Purdue University
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Billy Jin
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup