Applied ML Scientist, OpenTable
Working on Concierge agent experiences for dining discovery and assistance.
Academic Profile
CV
Applied ML Scientist at OpenTable working on Concierge agent experiences.
Experience
Visiting Researcher, ServiceNow Research
Worked on LLM and foundation models for context-aware forecasting.
PhD Researcher, McGill University
Developed probabilistic time-series methods for calibrated uncertainty estimation, including temporal autocorrelation, multivariate cross-covariance, and spatiotemporal error-correlation models.
Mitacs Accelerate Intern, ExPretio Technologies
Built adaptive multi-horizon models for uncertainty-aware demand modeling.
Education
PhD, McGill University
Research on uncertainty, correlated errors, multivariate modeling, and proper scoring rules. Supervised by Prof. Lijun Sun.
MSc, Central South University
Transportation Engineering.
BEng, Central South University
Transportation Engineering.
Awards
- Mitacs Accelerate, ServiceNow Research, C$32,000, 2025
- FRQNT B2X Scholarship, Fonds de recherche du Quebec, C$77,000, 2022
- McGill Engineering Doctoral Award, C$111,000, 2021
- National Scholarship for Graduate Students, China, 2018
Teaching
- TA, CIVE 440 Traffic Engineering and Simulation, Fall 2024, McGill University
- TA, CIVE 542 Transportation Network Analysis, Winter 2024, McGill University
- TA, CIVE 440 Traffic Engineering and Simulation, Fall 2023, McGill University
- TA, CIVE 542 Transportation Network Analysis, Winter 2023, McGill University
- TA, CIVE 319 Transportation Engineering, Winter 2022, McGill University