Dawson is completing an MS in Applied Mathematics and MEng in Machine Learning in the ECE department. His primary research focuses on developing deep neural network models for uncertainty quantification in time-series forecasting and generalizing economic factor models to a non-linear setting. Other research interests include federated learning and trustworthy machine learning.
- Deep learning for economics
- Deep learning for time-series forecasting
- Trust in deep learning
MS in Mathematics, 2022 (anticipated)
BS in Mathematics & Economics, 2017