Hello!

I am a postdoctoral researcher in the Decision, Risk, and Operations Division at Columbia University. I develop decision making methods (optimization, control, RL) for autonomous systems (AI agents, robotic manipulation, autonomous vehicles). My current research focuses on differentiable decision makings in agentic applications, robotics, and autonomous warehouse. At Columbia, I am collaborating with Hongseok Namkoong, Tianyi Peng, and Yunzhu Li.

If you are interested in collaboration or would like to chat, feel free to reach out at fywu85 (at) gmail (dot) com.

Below is an overview of who I am and what I do.

Experiences

Columbia DRO. Postdoctoral Researcher. September 2025 - Present.
Cornell ECE. Postdoctoral Researcher. July 2024 - July 2025.
NVIDIA. Optimization Intern. May 2023 - August 2023.
Intel. Machine Learning Intern. January 2018 - April 2018.

Education

UC Berkeley. Ph.D.+M.Eng. in EECS. May 2018 - July 2024.
UIUC. M.S.+B.S. in CEE with Minor in CS. August 2012 - May 2018.

Selected Publications

Journals:

1. F. Wu, J. Carpio, M. Bunting, M. Nice, D. Work, J. Sprinkle, J. Lee, S. Hornstein, and A. Bayen. “Modifying Adaptive Cruise Control Systems for String Stable Stop-and-Go Wave Control.” in IEEE Robotics and Automation Letters. 2024.
   Paper
2. N. Lichtle, E. Vinitsky, M. Nice, R. Bhadani, M. Bunting, F. Wu, B. Piccoli, B. Seibold, D. Work, J. Lee, J. Sprinkle, and A. Bayen. “From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers.” in IEEE Transactions on Robotics. 2024.
   Paper
3. F. Wu, G. Wang, K. Wang, A. Keimer, I. Stoica, and A. Bayen. “Composing MPC with LQR and Neural Networks for Amortized Efficiency and Stable Control.” in IEEE Transactions on Automation Science and Engineering. 2023.
   Paper
4. F. Wu, and A. Bayen. “A MPC Approach to Car Following with Linearly Constrained Quadratic Programming.” in IEEE Control Systems Letters. 2022.
   Paper
5. F. Wu, R. Stern, S. Cui, M. L. Delle Monache, R. Bhadanid, M. Bunting, M. Churchill, N. Hamilton, R. Haulcy, B. Piccoli, B. Seibold, J. Sprinkle, D. Work. “Tracking Vehicle Trajectories and Fuel Rates in Oscillatory Traffic.” in Transportation Research Part C: Emerging Technologies. 2017.
   Paper

Conferences:

1. Y. Wang, R. Syed, F. Wu, M. Zhang, A. Onol, J. Barreiros, H. Nayyeri, T. Dear, H. Zhang, and Y. Li. "Interactive World Simulator for Robot Policy Training and Evaluation." in submission to Robotics: Science and Systems. 2026.
   Paper Code
2. F. Wu, D. Wang, M. Hwang, C. Hao, J. Lu, J. Zhang, C. Chou, T. Darrell, and A. Bayen. “Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models.” in International Conference on Robotics and Automation. 2025.
   Paper Code
3. E. Vinitsky, A. Kreidieh, C. Wu, L. Flem, N. Kheterpal, K. Jang, C. Wu, F. Wu, R. Liawand, E. Liang, and A. Bayen. “Benchmarks for Reinforcement Learning in Mixed-Autonomy Traffic.” in Conference on Robot Learning. 2018.
   Paper
4. F. Wu, and D. Work. “Connections between Classical Car Following Models and Artificial Neural Networks.” in IEEE International Conference on Intelligent Transportation Systems. 2018.
   Paper