Sagi Zisman is a data scientist in the Data, Analysis, and Visualization Group within the Computational Science Center. As part of his work, he uses machine learning techniques such as time series analysis, deep learning, and unsupervised learning for solar and wind applications. Sagi especially enjoys working with subject matter experts to gain insights into various problem domains and to work with them in applying modern data science approaches.

Research Interests

Machine learning

Applied statistics

Software engineering

Software testing

Education

M.S., Electrical Engineering, University of Texas at Austin

B.S., Electrical Engineering, University of Texas at Austin