Baihong J.
Quant Thinker & Researcher | PhD, Machine Learning
- Role
- Quantitative Researcher at Jump Trading
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Baihong J.
As a Quant Researcher at a private trading firm, I apply machine learning and deep learning techniques to develop robust and scalable trading strategies and models. I have a PhD in EECS from UC Berkeley, where I focused on data-driven and machine learning methods for the design, modeling, and analysis of smart cyber-physical and healthcare AI systems.With 8+ years of experience in academia and industry, I have a strong background and passion for solving complex and challenging problems using computational and statistical methods. I have published multiple papers in prestigious journals and conferences, and received the Lotfi A. Zadeh Prize for my outstanding contributions to soft computing and its applications.
Experience
Quantitative Researcher
Jan 2024 — Present · Chicago, IL, US
Education
Shenzhen Middle School
High School Diploma
University of California, Berkeley
Doctor of Philosophy (Ph.D.), EECS
Peking University
Bachelor of Science (BS), EECS
The University of Hong Kong
Bachelor of Science (BSc)
2012 — 2013
Skills
- C++
- Matlab
- C
- Research
- Java
- Algorithms
- Cantonese
- Machine Learning
- Model Predictive Control
- Data Analysis
- Linux
- Verilog
- Python
- Latex
- Powerpoint
- Microsoft Excel
- Microsoft Office
- Mandarin
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