Hao Quan Email & Phone Number
Head of Engineering @ Solayer Labs
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Hao Quan Location
- California, United States
Hao Quan Work
- Head of Engineering @ (March 2026 - Present)
- Machine Learning Engineer @ (January 2025 - March 2026)
- Machine Learning Engineer @ (May 2024 - August 2024)
- Research Assistant @ (September 2020 - June 2023)
- Machine Learning Intern @ (August 2022 - October 2022)
Hao Quan Education
- The Johns Hopkins University
Doctor of Philosophy - PhD (Applied Mathematics)
2020-2024 - New York University
Master of Science - MS (Mathematics)
2018-2020 - NYU Shanghai
Bachelor of Science - BS (Honors Math)
2014-2018
Hao Quan Skills
- Adobe Spark
- Android Development
- Autonomous Vehicles
- C++
- CUDA
- Computer Vision
- Convex Optimization
- Deep Learning
- Fluid Dynamics
- Functional Analysis
- Generative AI
- Git
- Java
- Kalman filtering
- LaTeX
- Large Language Models (LLM)
- Linux
- MATLAB
- Machine Learning
- Motion Control
- Motion Planning
- NumPy
- Numerical Analysis
- Object-Oriented Programming (OOP)
- OpenCV
- PID Controller
- Pandas (Software)
- Partial Differential Equations
- Point Cloud Library (PCL)
- Probability
- PyTorch
- Python
- Python (Programming Language)
- Real Analysis
- Reinforcement Learning
- Research Skills
- Robot Operating System (ROS)
- SQL
- Scikit-Learn
- Shell Scripting
- Socket Programming
- Statistical Modeling
- Statistics
- TensorFlow
- Time Series Forecasting
Hao Quan Summary
- Hao Quan, based in California, United States, is currently a Head of Engineering at Solayer Labs. Hao Quan brings experience from previous roles at DoorDash, The Johns Hopkins University and Sunrise Technology Inc.. Hao Quan holds a 2020 - 2024 Doctor of Philosophy - PhD in Applied Mathematics @ The Johns Hopkins University. With a robust skill set that includes Adobe Spark, Android Development, Autonomous Vehicles, C++, CUDA and more. Hao Quan has 1 emails and 1 mobile phone numbers on RocketReach.
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