My GitHub can be found here.

I mostly code in Python and R. All of my research is in Python. I primarily conduct research with PyTorch, but I am learning TensorFlow.

Current code on my GitHub includes:

  • Simple DeepONet code on learning the one-dimensional derivative operator on discrete completely-randomized continuous functions (Spring 2022). DeepONet is a neural network framework for learning differential operators. To see the original paper on DeepONets, by Lu, Jin, Pang, Zhang, and Karniadakis, click here (all credit for this architecture goes to these authors). The randomly generated functions come from the gmls Python package.