About Me
I am a research associate at the Computational Science Initiative of Brookhaven National Laboratory. I study deep learning and its applications to experimental physics. Specifically, I develop algorithms for data compression and noise filtering, unpaired image translations, and fusion instability prediction. Neural networks are a great alternative when first-principle methods are hard to come by and I hope that one day, we can convince physicists and other domain scientists to trust neural networks. More details of my research can be found in the Research page and my Curriculum Vitae. Service:
Contact:Yi Huang |