News
- Oct 2026Presented a poster on Risk-Controlled Decision-Making for Large Language Models at the ML@GT conference, Georgia Tech.
- Oct 2026Awarded Second Place in the INFORMS K-12 STEM Spark poster competition for Your Feed Changed. Can AI Keep Up?
- Oct 2026Poster on Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs selected for the QSR Best Student Poster Competition, INFORMS.
- Oct 2026Presented a poster on Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs at Georgia Statistics Day.
- Oct 2026New preprint Certified Corruption Budgets: Anytime-Valid Leaderboard Claims under Adaptive Rigging is now on arXiv — a follow-up to Rank Confidence Sequences: Anytime-Valid Leaderboards, extending anytime-valid leaderboards to rankings an adversary is actively trying to move.
- Sep 2026New preprint Rank Confidence Sequences: Anytime-Valid Leaderboards is now on arXiv.
- Sep 2026Beyond “AI Helps Humans”: Decision-Targeted Evaluation Design for Human–Agent Teams in the Agentic Era accepted at the Human–AI Coevolution workshop (HAIC), NeurIPS 2026.
- Sep 2026Attended the Human–AI Teaming workshop (HAT) at HCOMP/CI 2026 in Alexandria, VA, and gave a talk on Statistical Foundations for Credible Human–AI Teaming Claims — TEAM-Audit: A Two-Endpoint Audit of Margins.
- Sep 2026Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs accepted to the NeurIPS 2026 main track.
- Sep 2026Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation accepted at the Can We Trust AI Evaluation? workshop (TAE), NeurIPS 2026.
- Sep 2026New work on how to evaluate human–AI agent teams, decide when they truly add value, and determine which comparisons are most informative is now available on arXiv. Also see the discussion on LinkedIn.
- Aug 2026New paper preprint on choosing which LLM to use for which task when quality estimates are uncertain is now on arXiv.
- Aug 2026Received conference travel support from Georgia Tech's College of Engineering and the Student Government Association Conference Fund.
- Jul 2026TEAM-Audit: A Two-Endpoint Audit of Margins accepted at HAT 2026 (HCOMP/CI).
- Jul 2026Received the Most Innovative Approach Award, NSF Future Manufacturing Data Challenge.
- May 2026Two new preprints on non-stationary low-rank bandits and anytime-valid risk control for RLVR-trained LLMs.
- Jan 2026Awarded the John Morris Fellowship.
- Aug 2025Started the Machine Learning Ph.D. at Georgia Tech with Prof. Xiaoming Huo.
- Aug 2025Completed the M.S. in Industrial Engineering (Data Science) at West Virginia University, advised by Prof. Imtiaz Ahmed.
- Aug 2025Completed a Machine Learning Engineer internship at Tesla (Cell Engineering, Analytics & Software).
- May 2025Named a Finalist in the PG&E Energy Analytics Challenge at the IISE Annual Conference.
- Apr 2025Received an NSF travel award to present at the IISE Annual Conference.
- Jan 2025Started as a Machine Learning Engineer Intern at Tesla, Cell Engineering, Analytics & Software.
- Nov 2024Received the Excellence in Research Award from West Virginia University.
- Oct 2024Two 3rd-place finishes at INFORMS 2024 — the QSR Section Manufacturing AI Competition and the Poster Competition (100+ posters).
- May 2024Received an NSF travel award to attend NAMRC 52.
- Aug 2023Awarded the Benjamin M. Statler College of Engineering and Mineral Resources Fellowship at West Virginia University.
- Feb 2022Graduated with a B.S. in Industrial Engineering from Iran University of Science and Technology, recognized as a Distinguished Student.