cv
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Basics
| Name | Bowen Fang |
| Label | PhD Student |
| bf2504@columbia.edu | |
| Phone | 917-293-3109 |
| Url | https://bwfbowen.github.io/ |
| Summary | PhD student at Columbia University with a focus on Reinforcement Learning and Autonomous Driving. |
Work
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2025.05 - 2025.08 -
2022.08 - 2022.12 -
2021.09 - 2022.06 Machine Learning Research Engineer Intern
AI TOPIA
Optimized intraday order placement using ML and RL algorithms.
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2021.07 - 2021.09 Quant Analyst Intern
Nomura Orient International Securities
Built FOF platform features, dashboards, and databases.
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2020.08 - 2020.10
Education
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2024 - present Ph.D.
Columbia University, New York, NY
Engineering and Applied Science
- Model Predictive Control
- Diffusion Models AI & RL
- Quantum Computing and Communication
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2022 - 2023 M.S.
Columbia University, New York, NY
Operations Research
- Advanced Big Data and AI
- ML and High-dimensional Analysis
- Robot Learning
- Optimization
- Stochastic Models
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2018.09 - 2022.07 Bachelor
Peking University, Beijing, China
Big Data Management and Applications
- Algorithms and Data Structure
- Database
Awards
- 2024
Calatrava Family Fellowship
Columbia University
Skills
| Programming | |
| Python | |
| SQL | |
| C++ | |
| C# | |
| Java | |
| MATLAB |
| Development | |
| HTML/CSS | |
| JavaScript | |
| Unity | |
| XCode |
| Machine Learning | |
| JAX | |
| PyTorch | |
| TensorFlow | |
| MuZero | |
| Acme | |
| OpenCV | |
| LLM |
| Data Science | |
| Apache Spark | |
| Docker | |
| Airflow | |
| MongoDB | |
| Pandas | |
| NumPy | |
| SciPy |
| Cloud Computing | |
| AWS | |
| GCP |
| Others | |
| Git | |
| LaTeX | |
| Linux | |
| iOS |
Languages
| English | |
| Fluent |
| Mandarin Chinese | |
| Native speaker |
Projects
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SINA: Seamless, Intelligent Navigation Anywhere
Winner of CS3 VALIDATE Accelerator program, received initial funding and continued funding.
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Python Open-source Library Muax
Implemented variants of MuZero with JAX/TensorFlow, supported distributed RL and distributed training. Integrated with DeepMind's Acme framework, compared MCTS search policies on Open Spiel multi-agent games (e.g., Go).