About Me
Hi! I’m a machine learning researcher/engineer with a passion for reinforcement learning and deep learning. During my Master’s at National Taiwan University, I led projects that were published at top-tier conferences like NeurIPS, ICML, and ICLR, and had the chance to present my work in Vienna and Vancouver. My research has been cited over 30 times and supported by the NSTC international travel grant.
After graduation, I joined UC Capital, as an ML researcher, where I build intelligent systems while applying solid engineering practices. I bring hands-on experience with multi-threading, interprocess communication, socket programming, internationalization (I18N), and writing production-ready code.
In my free time, I build LEGO sets and go snowboarding when it’s winter. I’ve also just started learning tennis and, even though I’m still new to it, I’m really enjoying the process.
Interests
- Deep Learning
- Computer Vision
- Generative Models
- Robotics
- Reinforcement Learning
- LLM
Education
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M.S. in Communications Engineering, 2024
National Taiwan University
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B.Eng in Information Engineering, 2022
Shanghai Jiao Tong University
Publications
Experience
Master Research
RLLab in NTU
Responsibilities include:
- Spearheaded research projects combining diffusion models with reinforcement learning, yielding top-tier conference publications such as ICML and NeurIPS.
- Conducted cutting-edge research under the supervision of Prof. Shao-Hua Sun, focusing on leveraging generative models to enhance decision-making in sequential tasks.
Undergraduate Thesis
Department of EE at SJTU
Responsibilities include:
- Research ideas for identifying actions in tennis matches.
- Develop software to extract essential moments from game footage.
Undergraduate Research Intern
Lab of Prof. Jiaxin Ding
Responsibilities include:
- Explored solutions to find embedding vectors in GPS trajectory data
Engineering
SJTU Autonomous Driving Team
Responsibilities include:
- Spearheaded the design and implementation of autonomous racing algorithms, enabling high-speed navigation and real-time obstacle avoidance in compliance with safety and competition rules.
- Collaborated with hardware engineers to streamline system integration, reducing lap times by 30%.
- Selected as team lead for technical excellence; supervised junior members and conducted iterative testing to optimize performance.
Tools include:
- C++, Python, YOLO, SLAM, ROS
Engineering
SJTU Robomaster Team (云汉交龙)
Responsibilities include:
- Contributed to designing, building, and programming robots for tasks like projectile targeting, obstacle navigation, and combat.
- Assisted in optimizing robot performance for greater task efficiency.
Tools include:
- Python, Computer Vision, OpenCV
Contact
- hc.nathan.wang@gmail.com
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