Agus Sudjianto Machine Learning for High-Risk Applications in Banking Renowned statistician George Box once famously stated, “All models are wrong, but some are useful.” In a world where machine learning increasingly automates important decisions about our lives, the consequences of model failures can be catastrophic. It’s critical to take deliberate steps to mitigate risk and avoid unintended harm. Thu, 03/30/2023 - 4:00pm Type of Event: Industry Day General event Colloquium Series Read more about Agus Sudjianto
2023 Clemson-UGA Joint Colloquium Do statisticians have labs? Introduction to the Precision Medicine Artificial Intelligence Lab (PHAIR) Event Slides Mon, 04/03/2023 - 4:00pm Type of Event: UGA Clemson Colloquium Series Read more about 2023 Clemson-UGA Joint Colloquium
Lauren Rose Wilkes participated in MIT REU Congratulations to our Data Science student Lauren Rose Wilkes who got selected to the Research Experiences for Undergraduates program at MIT. In Summer 2022, she worked under the supervision of Dr. Aleksander Madry in the Computer Science and Artificial Intelligence Lab. Read more about Lauren Rose Wilkes participated in MIT REU
Sarangan Balasubramaniam sarangan@uga.edu Ph.D. in Computational Mathematics, University of North Carolina Greensboro, NC, USA;M.A in Mathematics (Concentration in Data Analytics), University of North Carolina Greensboro, NC, USA;B.Sc. in Statistics and Operations Research (Honors), University of Peradeniya, Kandy, Sri Lanka; Read more about Sarangan Balasubramaniam
Ruizhi Zhang Ruizhi.Zhang@uga.edu Ph.D. in Industrial Engineering, Georgia Institute of Technology, 2014-2019 B.S. in Mathematics, the University of Science and Technology of China, 2010-2014 Read more about Ruizhi Zhang
Tuo Zhao Approximation and Statistical Properties of Deep Neural Networks on Structured Data Abstract Thu, 10/20/2022 - 4:00pm Type of Event: Colloquium Series Read more about Tuo Zhao
Weijie Su When Will You Become the Best Reviewer of Your Own Papers? A Truthful Owner-Assisted Scoring Mechanism Zoom Info Link: https://zoom.us/j/93936847707?pwd=ZWFVRWlqL0x1bWxNM2xMQTczb3lPQT09 Meeting ID: 939 3684 7707 Passcode: 821272 Thu, 10/06/2022 - 4:00pm Type of Event: Colloquium Series Read more about Weijie Su
