Isaac Godfried is a deep learning researcher with a focus on applying deep learning to real world problems. He has utilized modern machine learning techniques to forecast retail demand in stores, river flows, job supply/demand, and patient length of stay. He is currently leading the time series effort at CoronaWhy to leverage transfer learning to better forecast COVID-19 spread at the county level. He is also the creator and maintainer of flow-forecast, a deep learning for time series library built in PyTorch.
