Avi Bagchi

Education

PhD in Computer Science (incoming)

The University of Texas at Austin

2026-

BSE in Computer Science (summa cum laude)

University of Pennsylvania

2022-2026

News

May 2026 — Graduated from UPenn summa cum laude. Submitted senior thesis: "Toward Trustworthy AI: Robustness, Generalization, and Provenance".
March 2026 — Committed to the PhD program in Computer Science at UT Austin, advised by Professor Sanjay Shakkottai.
Spring 2026 — Presented posters at ICLR 2026 workshops on trustworthy AI and time series modeling.
May 2025 — Summer research at MIT Lincoln Laboratory (Group 64) on tactical satellite communications.

I am interested in improving the reliability and security of AI systems, with a current focus on diffusion models.

Avi Bagchi, Akhil Bhimaraju, Moulik Choraria, Daniel Alabi, and Lav R. Varshney

ICLR 2026 Workshop on Principled Design for Trustworthy AI - Interpretability, Robustness, and Safety across Modalities (Poster)

Avi Bagchi, Michael Tesfaye, Om Shastri

ICLR 2026 Workshop on Time Series in the Age of Large Models (Poster)

Avi Bagchi, Dwight Hutchenson

Presentation to Division 6 at MIT Lincoln Labs.

Graduate Student Researcher
The University of Texas at Austin
May 2026 – Present
Supervisor: Professor Sanjay Shakkottai
Undergraduate Student Researcher
University of Illinois Urbana-Champaign (Information & Intelligence Group)
June 2024 – May 2026
Supervisors: Professors Lav Varshney & Daniel Alabi
Research Intern (Tactical Satellite Communications)
MIT Lincoln Laboratory (Group 64), Lexington, MA
May 2025 – August 2025
Supervisor: Dwight Hutchenson
Quantitative Research Intern
Nebula Research and Development, New York, NY
October 2023 – August 2024
Supervisor: Dr. Limin Wang
Undergraduate Researcher
The Wharton School, Philadelphia, PA
August 2022 – May 2024
Supervisor: Professor Prasanna Tambe