Dipesh Tamboli

Dipesh Tamboli

Research Scientist at Meta

I am a Research Scientist at Meta. My research interests include trustworthy foundation models, including preference optimization and test-time alignment for LLMs, privacy-preserving generative AI, and applications in healthcare and genomics.

I completed my PhD in Electrical and Computer Engineering at Purdue University in 2025, advised by Prof. Vaneet Aggarwal, where I worked on trustworthy and generative AI. During my PhD, I interned at Meta (2024) and at Amazon Robotics as an Applied Scientist Intern (2023). Earlier, I worked at AWL Inc. on self-supervised learning for object detection.

I finished my undergrad at IIT Bombay with a major in Electrical Engineering and a minor in Computer Science, where I conducted research with Prof. Biplab Banerjee and Prof. Subhasis Chaudhuri. During my undergrad, I also conducted research at the Vision and AI Lab (VAL), Indian Institute of Science, Bengaluru, with Prof. R. Venkatesh Babu; at UC San Diego with Prof. Pengtao Xie; and at the Visual Artificial Intelligence Laboratory (VAIL) at Oxford Brookes University with Prof. Fabio Cuzzolin.

Journey

Timeline

IISc · VAL
2019
IISc Bangalore
AWL Inc.
2021
AWL Inc.
Amazon Robotics
2023
Amazon Robotics
Meta (intern)
2024
Meta
Jawahar Navodaya Vidyalaya
Navodaya
2010–2015
Dakshana Foundation
Dakshana
2015–2017
IIT Bombay
IIT Bombay
2017–2021
Purdue University
Purdue
2021–2025
Meta
Meta
2025–present

Recent

News

  • 2026PRIVATEEDIT published in IEEE Transactions on AI (patent-pending) — featured across national & international press.
  • 2026TARo accepted to ACL 2026 Findings; BalancedDPO published in TMLR.
  • 2026Received the ICML 2026 Gold Reviewer Award.
  • 2025Completed my PhD at Purdue and joined Meta as a Research Scientist.

Alignment · Privacy · Trustworthy AI

Selected Publications

275 citations · h-index 9 · i10-index 9 — Google Scholar (updated ).

IEEE TAI 2026 Journal

PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing

Dipesh Tamboli, Vineet Punyamoorty, Atharv Pawar, Vaneet Aggarwal

IEEE Transactions on Artificial Intelligence (TAI)

First author Provisional patent filed In the news arXiv
TMLR 2026 Journal

BalancedDPO: Adaptive Multi-Metric Alignment

Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal

Transactions on Machine Learning Research (TMLR)

First author Page arXiv
ACL 2026 Conference

TARo: Token-level Adaptive Routing for LLM Test-time Alignment

Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

Findings of the Association for Computational Linguistics (ACL Findings)

Meta ACL arXiv
IEEE JBHI 2024 Journal

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework with Mortality Classifier and Transformer

Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal

IEEE Journal of Biomedical and Health Informatics (JBHI)

First author 16 citations IEEE arXiv
ICML 2023 Conference

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal

International Conference on Machine Learning (ICML)

32 citations PMLR
See all publications (21) →

Recognition

Awards

  • 🥇ICML 2026 — Gold Reviewer Award
  • CVPR 2025 — Outstanding Reviewer
  • 🏆IEEE WIECON-ECE 2019 — Best Paper