Dr. Suhas Sreehari received his PhD in electrical engineering from Purdue University, where he worked on Bayesian estimation, statistical reconstruction, mathematical modeling, and distributed optimization techniques. He has won several awards including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.

Currently, at Wells Fargo, Suhas is responsible for development of explainable machine learning algorithms for a variety of application including automatic hyper-parameter tuning, financial crimes detection, credit scoring, fraud detection, and loan loss forecasting.