I am an engineer working at NVIDIA.

Before joining NVIDIA, I received my:

• Ph.D. in Computational Science and Engineering from Georgia Tech, advised by Prof. Edmond Chow, with dissertation “New Parallel Algorithms for Large-Scale Matrix Computations”;
• M.S. in Computer Science from Georgia Tech, advised by Prof. Edmond Chow, with thesis “Performance Optimizations for Quantum Chemistry Calculations”;
• B.S. in Information and Computing Science from Sun Yat-Sen University, advised by Dr. Weicai Ye.

In 2023, I received the 2023 ACM-IEEE CS George Michael Memorial HPC Fellowship Honorable Mention.

I have interned at the following companies:

• Meta AI, supervised by Dr. Xing Liu;
• Intel Labs, supervised by Dr. Jeff Hammond.

My research interests include:

• High-performance computing and parallel computing;
• Numerical linear algebra algorithms;
• Computational chemistry;
• Efficient algorithms for data science.

I am always looking for new collaborators. Please don’t hesitate to reach out if you would like to hear more about my work or start a new collaboration! The best way to contact me is via email: huangh1994 at outlook.com.