معرفی
Christina Lee Yu is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering (ORIE). She holds a PhD and MS in Electrical Engineering and Computer Science from MIT (2017, 2013) and a BS in Computer Science from Caltech (2011). Her research focuses on algorithm design, high-dimensional statistics, causal inference in networks, and reinforcement learning. She is also an Amazon Scholar and has received prestigious awards, including the NSF CAREER Award and Intel Rising Stars Award. Her work is supported by grants from the NSF and Air Force Office of Scientific Research.
Education:
- PhD in EECS, MIT (2017)
- MS in EECS, MIT (2013)
- BS in Computer Science, Caltech (2011)
Research Interests:
- Algorithm design and analysis
- Inference over networks and causal inference
- Sequential decision making under uncertainty
- Online learning and reinforcement learning
- High-dimensional statistics
Awards and Honors:
- NSF CAREER Award (2024)
- ACM SIGMETRICS Rising Stars Award (2024)
- Intel® Rising Stars Award (2021)
- JPMorgan Faculty Research Award (2021)
- Simons Institute Research Fellow (2020)
- INFORMS Dantzig Dissertation Award Honorable Mention (2018)
Grants and Funding:
- National Science Foundation (NSF) CAREER Grant
- Air Force Office of Scientific Research Grant
Advising:
- PhD Students: Sean Sinclair, Tyler Sam, Xumei Xi
- Collaborators: Mayleen Cortez, Matthew Eichhorn
Labs and Collaborations:
- Member of ORIE, Statistics, CAM, and CS graduate fields at Cornell
- Amazon Visiting Academic in Fulfillment Optimization (2025)
۰مقاله منتشرشده
