I am a Machine Learning Ph.D. Candidate at Carnegie Mellon University, where my research focuses on machine learning for decision making. I am fortunate to be supported by the NDSEG Fellowship and selected as a Rising Star in Data Science. I am also the head editor of the ML@CMU blog. Fill out this form if you have a CMU affiliation and are interested in writing a blog post about your research!

In Summer 2023 and Summer 2024 I was a research intern at Microsoft Research, where I worked on LLM agents. I obtained a Master of Science degree in Machine Learning from Carnegie Mellon in 2022. Before coming to CMU, I graduated summa cum laude from Penn State University with Bachelor of Science degrees in Computer Science and Physics, where I also did research in robotics.

News

• November 2024: I was selected as a Rising Star in Data Science.
• October 2024: Talks at INFORMS and the University of Washington.
• September 2024: Two papers accepted to NeurIPS.
• September 2024: Talks at MIT and UIUC.
• April 2024: Talks at Capital One, the Georgia Tech ISyE Junior Researcher workshop, and Microsoft Research NYC.
• January 2024: Talks at the Multi-Agent Learning Seminar, CMU Economics, Columbia, and Google Research NYC.
• December 2023: One paper accepted to SIGMETRICS.
• October 2023: I gave talks at INFORMS, Drexel, and Penn.
• September 2023: Three papers accepted to NeurIPS.
• September 2023: I gave a talk at the CMU AI Seminar.
• September 2023: I gave talks at the University of Miami's Computer Science and Industrial & Systems Engineering Seminars.
• January 2023: One paper accepted to ICLR.
• December 2022: I received my Master's degree.
• September 2022: One paper accepted to NeurIPS.
• August 2022: I am co-organizing the SIGecom Seminar Series for the fall 2022 semester. Check out our website here.
• May 2022: One paper accepted to ICML.
• April 2022: I was awarded the NDSEG Fellowship.
• September 2021: One paper accepted to NeurIPS!