About me

I am a second-year phd student at Harvard John A. Paulson School of Engineering and Applied Sciences working with Prof. Na Li. My research interest lies in the intersection of control theory and machine learning, with applications on multiple fields, like autonomous driving, robotics, and healthcare. Currently, I am working on developing fundamental decision-making tools for efficient exploration and exploitation. Especially, I am interested in bridging the gap between theoritical analysis and empirical applications (on real hardwares) about general online decision making algorithms (including reinforcement learning). If you have interesting topics and would like to discuss or collaborate, feel free to send me an email. I have received L4DC best paper award finalists (only 3 papers nominated), ITSC best student paper award, the outstanding master graduate and master thesis of Tsinghua University, championship of Honda Eco Mileage challenge in China, etc. 

Google Scholar  /  Github  /  CV

Prior to Harvard, I received my master degree in vehicle engineering from Tsinghua University in 2022. My previous research works focus on constrained reinforcement learning, control with safety certificates, Hamilton-Jacobi reachability analysis, optimal control, autonomous driving, etc.  I was with the Intelligent Driving Lab (iDLab) at School of Vehicle and Mobility, Tsinghua University, where I worked with Prof. Shengbo Eben Li and Prof. Sifa Zheng. I also collaborated closely with Prof. Jianyu Chen, who leads Intellegent System and Robotics Lab at IIIS, Tsinghua University. In summer 2021, I had a great time working (remotely) with Prof. Changliu Liu, who leads the Intelligent Control Lab at the Robotics Institute, Carnegie Mellon University. I received my (two) bachelor degrees in vehicle engineering and business administration from Tsinghua University in 2019. 

Contact

Science and Engineering Complex, 150 Western Ave, Allston, MA, 02134

Email: haitongma@g.harvard.edu.