I am a Ph.D. candidate in Computational Science and Engineering at Georgia Tech, where I was fortunate to be advised by Prof. Edmond Chow. My proposed Ph.D. dissertation title is “New Parallel Algorithms for Large-Scale Matrix Computations”.

During my Ph.D., I was lucky to spend time at Meta AI with Dr. Xing Liu, and at Intel Labs with Dr. Jeff Hammond. In my final year, I received the 2023 ACM-IEEE CS George Michael Memorial HPC Fellowship Honorable Mention.

I received my M.S. in Computer Science from Georgia Tech, where I was fortunate to be advised by Prof. Edmond Chow. My M.S. thesis title was “Performance Optimization for Quantum Chemistry Calculations”.

I received my B.S. in Information and Computing Science from Sun Yat-Sen University, where I was fortunate to be advised by Dr. Weicai Ye.

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: huangh223 at gatech.edu / huangh1994 at outlook.com.