CV
Academic background, research experience, awards, and selected publications.
Contact Information
| Name | Unique Subedi |
| Professional Title | Ph.D. Student in Statistics |
| subedi@umich.edu |
Professional Summary
Ph.D. student in the Statistics Department at the University of Michigan interested in machine learning, AI for scientific applications, and robust AI.
Experience
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2026 - Incoming
Member of Technical Staff, Research
Fireworks AI
-
2024 - 2026 Ann Arbor, Michigan
Graduate Research Assistant
University of Michigan
-
2025 - 2025 Block Inc.
AI Research Intern
Block
Worked on training foundation models with payment data.
-
2020 - 2020 Fields Institute
Undergraduate Researcher
Fields Institute
Education
-
2021 - 2026 Ann Arbor, Michigan
PhD
University of Michigan
Statistics
- Advised by Ambuj Tewari.
- {“Interests”=>”Machine learning, AI for scientific applications, and robust AI.”}
-
2021 - 2025 Ann Arbor, Michigan
MA
University of Michigan
Statistics
-
- Oxford, Mississippi
BS
University of Mississippi
Mathematics and Computer Science
- {“Thesis”=>”A Weighted Version of Erdős-Kac Theorem.”}
Awards
-
2025 Rackham Predoctoral Fellowship
University of Michigan
-
2024 MSSISS Best Oral Presentation
MSSISS
-
2023 Rackham International Student Fellowship
University of Michigan
-
2023 Outstanding Statistics GSI Team (Honorable Mention)
University of Michigan
-
2021 Rackham Fellowship
University of Michigan
-
2021 Taylor Memorial Medal
University of Mississippi
Highest academic honor at the University of Mississippi.
-
2021 Hume Award for Outstanding Senior in Mathematics
University of Mississippi
-
2021 Ventress Scholar
University of Mississippi
Awarded for perfect GPA.
-
2019 Quarles Scholarship for Outstanding Sophomore in Mathematics
University of Mississippi
-
2017 Academic Merit Scholarship
University of Mississippi
Full tuition award.
Teaching
- Graduate Student Instructor, University of Michigan.
- Probability and Distribution Theory, Fall 2023.
- Statistics and Artificial Intelligence (aka Deep Learning), Winter 2023.
- Bayesian Data Analysis, Fall 2022.
- Applied Regression Analysis, Winter 2022.
- Introduction to Statistics and Data Analysis, Fall 2021 and Winter 2023.
Publications
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2026 Operator Learning: A Statistical Perspective
Annual Review of Statistics and Its Applications
Invited article.
-
2026 Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
Conference on Artificial Intelligence and Statistics
-
2025 On the Benefits of Active Data Collection in Operator Learning
International Conference on Machine Learning
Spotlight.
-
2025 The Complexity of Sequential Prediction in Dynamical Systems
Learning for Dynamics and Control
Oral. Equal contribution with Vinod Raman.
-
2025 A Unified Theory of Supervised Online Learnability
Conference on Algorithmic Learning Theory
Outstanding Paper Award. Equal contribution with Vinod Raman.
Skills
Professional Service
- Reviewing: NeurIPS (2023, 2024, 2025), ICML (2024, 2025), ICLR (2025), Statistical Science (2025).
References
- Ambuj Tewari
Professor of Statistics, University of Michigan (tewaria@umich.edu)
- Yuekai Sun
Associate Professor of Statistics, University of Michigan (yuekai@umich.edu)
- Micah Milinovich
Professor of Mathematics, University of Mississippi (mbmilino@olemiss.edu)