I work on LLM Agents and post-training at Google. My recent work on Deep Research is now available on Gemini Enterprise and Gemini DR Max with millions of users. Previously, I spent two years at AWS AI Labs leading research in RAG, LLM evaluations, and alignment while building enterprise AI assistant services Kendra and Amazon Q.

My recent research spans two complementary directions. On the vertical side, I build agents that solve challenging enterprise use cases in finance, engineering design, supply chain, and more. On the horizontal side, I invent general agent capabilities that enable agents to curate skills and learn from their own experience via recursive self-improvement.

Timeline

2024 – present

Senior Research Scientist

Google — Cloud AI Research

Working on LLM Agents, post-training, and distillation. Led work on Deep Research, now serving millions of users on Gemini.

2022 – 2024

Applied Scientist

Amazon Web Services — AI Labs

Led research on open-domain search and QA. Built enterprise AI assistant services including Kendra and Amazon Q.

2017 – 2018

Senior Associate, Data Scientist

Commonwealth Bank

Built the bank's first ML model and big data pipeline for commercial lending risk assessment.

2015 – 2017

Senior Research Analyst

Federal Reserve Bank of New York

Applied statistical models (hidden factor models, time-series analysis) to predict economic and financial indicators. Contributed to Nowcast, UIG, and Monetary Policy research.


2018 – 2022

Ph.D. in Computer Science

University of Southern California
2015 – 2018

M.Sc. in Data Science

New York University
2010 – 2014

B.A. in Economics and Mathematics

Hamilton College

Selected Publications

See all publications on Google Scholar.

Deep Research and Information Retrieval (RAG) Agents

Rujun Han*, Yanfei Chen*, Zoey CuiZhu, Lesly Miculicich, Guan Sun, Yuanjun Bi, Weiming Wen, Hui Wan, Chunfeng Wen, Solène Maître, George Lee, Vishy Tirumalashetty, Emily Xue, Zizhao Zhang, Salem Haykal, Burak Gokturk, Tomas Pfister, Chen-Yu Lee
Powers Gemini Enterprise Deep Research
Yijia Xiao, Rujun Han, Yanfei Chen, Zifeng Wang, Ke Jiang, Zhongying CuiZhu, Vishy Tirumalashetty, Wei Wang, Burak Gokturk, Tomas Pfister, Chen-Yu Lee
EMNLP'26 Findings
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
EACL'26 Findings
Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli
EMNLP'24
Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth
ACL'23 Findings

Agent Harness: Memory, Skills, Recursive Self-Improvement (RSI)

Chengsong Huang, Zifeng Wang, Rujun Han, Jun Yan, Yanfei Chen, Zoey CuiZhu, Ke Jiang, Peng Xia, Han Yu, Yufan Zhuang, Yifei Ming, Jiaqi Pan, Bhavana Dalvi Mishra, Jiaxin Huang, Burak Gokturk, Tomas Pfister, Chen-Yu Lee
Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han, Zifeng Wang, Bhavana Dalvi Mishra, Rui Meng, Chun-Liang Li, Yizhu Jiao, Kaiwen Zha, Maohao Shen, Vishy Tirumalashetty, George Lee, Jiawei Han, Tomas Pfister, Chen-Yu Lee
Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister
ICLR'26
Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long Le, Yiwen Song, Yanfei Chen, Hamid Palangi, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
ACL'25

Post-training: RL, Distillation

Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee
ICLR'26
Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
ICLR'25
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
NAACL'25
Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang, Jun Yan, Rujun Han, Yanfei Chen, Vishy Tirumalashetty, George Lee, Tomas Pfister, Chen-Yu Lee
Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang
EMNLP'24