معرفی
Jacob Abernethy is an Associate Professor in the School of Computer Science at the Georgia Institute of Technology, part of the College of Computing. His research focuses on Machine Learning, Optimization, and their intersections with Game Theory, Statistics, and Economics. He completed his PhD at UC Berkeley in 2011 and held a Simons postdoctoral fellowship at the University of Pennsylvania.
- Education: PhD in Computer Science (UC Berkeley, 2011), Postdoctoral work at UPenn (2011-2013).
- Research Highlights: Contributions to online learning, optimization, and applications to real-world problems like the Flint water crisis. Notable work includes developing algorithms for min-max optimization and market-making mechanisms.
His research group addresses topics such as lead contamination detection, GAN stability, and adversarial learning. He has advised multiple PhD students and postdocs, including Matus Telgarsky (now at UIUC) and Sindhu Kutty (now at Swarthmore College).
Awards:
- KDD 2018 Best Student Paper Award (Research Track)
- COLT 2008 Best Student Paper Award
- Pat Goldberg Memorial Best Paper Award from IBM (2008)
He has held grants such as the NSF IIS Award 1910077 and collaborated with organizations like Google Research. His teaching spans machine learning theory, advanced algorithms, and discrete mathematics.
