Omar Hagrass
325 Sherred Hall
Princeton, NJ 08540
Phone: +1.646.796.5047
E-mail: oh2588 AT princeton DOT edu
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About me
I am a postdoctoral researcher in the department of Operations Research and Financial Engineering (ORFE) at Princeton University where I am working with Dr. Jason M. Klusowski. I received my Ph.D. in Statistics from Penn State University under the supervision of Dr. Bharath K. Sriperumbudur and co-advised by Dr. Bing Li.
Research Interests
Non-Parametric Statistics
Reproducing Kernel spaces in Probability and Statistics
Statistical Learning Theory
Optimal Transport
Decoding strategies in large language models
Curriculum Vitae Google Scholar Linkedin
Education
Education
- Ph.D. in Statistics, Penn State University in 2024.
- B.S. in Communications and Information Engineering, University of Science and Technology Zewail City, Egypt in 2018
Publications
Publications
Published/ Accepted:
- Hagrass, O., Sriperumbudur, B. K., Balasubramanian, K. Minimax Optimal Goodness-of-Fit Tests with Kernel Stein Discrepancy. Bernoulli, 2025. To appear [arXiv]
- Chen, S., Hagrass, O., Klusowski, J. M. Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies. ICLR, 2025. To appear [arXiv]
- Mohamady, Y. K., Geudens, V.; Fays, C. D., Zapata, M., Hagrass, O., et al. Computational fluid dynamics of small airway disease in chronic obstructive pulmonary disease. eBioMedicine, Volume 114, 105670, 2025. [HTML]
- Hagrass, O., Sriperumbudur, B. K., Li, B. Spectral Regularized Kernel Goodness-of-Fit Tests. Journal of Machine Learning Research, 25 (309): 1-52, 2024. [pdf]
- Hagrass, O., Sriperumbudur, B. K., Li, B. Spectral Regularized Kernel Two-Sample Tests. Annals of Statistics, 52(3): 1076-1101, 2024. [pdf] [Code]
Teaching Experience
Graduate Instructor
The Pennsylvania State University
The Pennsylvania State University
Graduate Instructor
The Pennsylvania State University
- STAT 184: Introduction to R (Spring 2022)
- STAT 200: Elementary Statistics (Summer 2021, Summer 2020)
- STAT 318: Elementary Probability Theory (Spring 2021, Fall 2020)
- STAT 100: Statistical Concepts and Reasoning (Spring 2020)
The Pennsylvania State University
- STAT 517 (Grad): Probability Theory (Fall 2023)
- STAT 561 (Grad): Statistical Inference I (Spring 2023)
- STAT 597 (Grad): Non-Parametric Methods and Learning Theory (Fall 2022)
- STAT 511 (Grad): Regression Analysis and Modeling (Fall 2022)
- STAT 200: Elementary Statistics (Summer 2019, Fall 2019, Fall 2021)
- STAT 414: Introduction to Probability Theory (Spring 2019)
- STAT 415: Introduction to Mathematical Statistics (Fall 2018)
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