Greetings!

I am a final year PhD candidate in the Computer Science department at the University of Virginia advised by Dr. Aidong Zhang.

NEWS

August 2025: Paper accepted to EMNLP 2025 (main) (Acceptance Rate: ~22%)

August 2025: Completed internship at Morgan Stanley. Refer: Chart-RVR

June 2025: Co-author paper accepted to ICCV 2025 (Acceptance Rate: ~24%)

April 2025: Paper accepted to IJCAI 2025 (Acceptance Rate: ~20%)

May 2024: 2 papers accepted to KDD 2024 (Acceptance Rate: ~20%)

April 2024: Paper accepted to IJCAI 2024 (Acceptance Rate: ~15%)

April 2024: Awarded a $1000 Cohere Research Grant! Thanks Cohere

May 2023: Paper accepted to Interspeech 2023 (Acceptance Rate: ~48%)

November 2022: Paper accepted to AAAI 2023 (Acceptance Rate: ~19.6%)

Research Areas

I am broadly interested in VLMs, interpretability and robustness. Recently I have also worked with RL-based post-training.

Previously, I have been involved around biometric research in facial recognition on human-like faces at IAB Lab.

Industry Experience

In Summer, 2025 I interned at Morgan Stanley, NYC, NY as a Machine Learning Research Intern working on RL based post-training of LVLMs. Link: Chart-RVR

In Summer, 2023 I interned at Alexa NLU, Cambridge, MA as an Applied Scientist Intern working on meta-learning based training approaches for LLMs.

In Summer, 2022 I interned at AWS Lex, Sunnyvale, CA as an Applied Scientist Intern working on domain adaptation of large speech models.

In Summer, 2020 I was a Machine Learning (Perception) Engineering intern at Unity, Seattle, WA in the AI@Unity division where I worked with image tracking and segmentation models for synthetic data.

Services

Reviewer:

TMLR, CVPR, ICLR, NeurIPS, ICML, ICCV - 2025

AAAI (PC), KDD, IJCAI, ICML (Invited) - 2024

ICDM, NeurIPS (Invited), NeurIPS XAIA , EMNLP Blackbox, EMNLP GenBench - 2023