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Tudor Manole (Ph.D in Statistics, 2024)

• Thesis: Statistical Inference for Optimal Transport
• Umesh K. Gavaskar Best Dissertation Award in the Department of Statistics, CMU.
• CMU Graduate Presidential Fellowship.
• NSERC Graduate Fellowship.
• 2023 IMS Lawrence D. Brown Ph.D. Student Award and the IMS Hannan Travel Award.
• 2024 ASA Pittsburgh Chapter, Student of the Year.
• Now a Norbert Wiener Postdoc at MIT.

Saurabh Garg (Ph.D in Machine Learning, 2024)

• Thesis: Robust Machine Learning: Detection, Evaluation, and Adaption Under Distribution Shift
• Bloomberg PhD Fellowship 2023.
• J.P. Morgan Chase Fellowship 2022.
• Amazon Graduate Research Fellowship 2022.
• Now at Mistral AI.

Beomjo Park (Ph.D in Statistics, 2023)

• Thesis: Robust Inference: A Price of Misspecification and How to be Resilient
• Best Student Paper Award at SLDS.
• Now at Google.

Alden Green (Ph.D in Statistics, 2021, Postdoc 2021-2022)

• Thesis: Statistical Guarantees for Spectral Methods on Neighborhood Graphs
• Umesh K. Gavaskar Best Dissertation Award in the Department of Statistics, CMU.
• Now a Stein Fellow at Stanford.

Ilmun Kim (Ph.D. in Statistics, 2020)

• Thesis: Statistical Theory and Methods for Comparing Distributions
• Umesh K. Gavaskar Best Dissertation Award in the Department of Statistics, CMU.
• IMS Lawrence D. Brown PhD Student Award.
• Now an assistant professor at Yonsei University.

Adarsh Prasad (Ph.D. in Machine Learning, 2021)

• Thesis: Towards Robust and Resilient Machine Learning.
• Winner of the J.P. Morgan AI Research Fellowship.
• Now a quantitative analyst at TGS Management.

Charvi Rastogi (M.S. in Machine Learning, 2021)

• Winner of the J.P. Morgan AI Research Fellowship.
• Next Steps: Ph.D student in Machine Learning at CMU.

Y.J Choe (M.S. in Machine Learning, 2017)

• Next Steps: Joint Ph.D student in Statistics and Machine Learning at CMU.