Meet Our Best-in-Class Instructors
Lisa joined GE Digital as a data scientist after graduating with her Masters in Analytics from Georgia State University. At the GE Digital Data Science Team, she applies her skills in machine learning and statistics to transform company data into business insights.
Su's work specializes in the domain of sales and commercial operations for industrial technology and creating dynamic solutions for challenges facing the business.
Director of Financial Services
Jonathan is the Director of Financial Services at RStudio and the author of Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Management (CRC Press).
He writes the Reproducible Finance blog series for RStudio and his code/apps can be seen at www.reproduciblefinance.com.
Prior to joining RStudio, he worked at JP Morgan. He studied international relations at Harvard University and did graduate work in political economy at Emory University.
Joe applies techniques from computer science to questions of substantive interest in political science and economics. His current research focuses on how to study political representation with text data, with academic and popular publications that focus on political behavior, elections, political methodology, natural language processing, and machine learning.
Sutherland aims to make the methods and software developed in the course of his research beneficial to as broad of an audience as possible. Additionally, his recently published open-source computer vision software has seen incredible adoption by researchers developing text corpora (forked and starred more than 99.9% of projects on GitHub).
Zsolt Kira, Ph.D.
Assoc. Dir.of Machine Learning
Georgia Institute of Technology
Zsolt is a Senior Research Scientist at the Georgia Tech Research Institute, where he leads a group of researchers as the Chief of the Machine Learning and Analytics branch.
Dr. Kira serves as the Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. He also recently accepted an offer to join Georgia Tech's School of Interactive Computing as an Assistant Professor in the College of Computing.
Dr. Kiras' areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas.