Photo: Isaac Godfried

Isaac Godfried

Lead ML Researcher
Connect with Isaac

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.

Conference Sessions

TWIMLfest  2020
Deep learning has become the industry standard in Computer Vision and NLP, however, in the time series domain many companies still prefer simple models. The session will go over LSTMs and other RNNs and include practical examples of how these models perform in different industries such as retail and healthcare.