Best Paper Award at AI4ABM workshop (ICML 2022) for work co-authored by student Alex
PhD student Alex named 'Rising Star in Data Science' (December 2021)
Facebook Faculty Award (August 2021) with Prof. Chao Zhang on statistics for improving insights, models, and decisions
Published paper at NeurIPS 2021 on principled uncertainty quantification in time-series forecasting using Gaussian processes with deep sequential models
Keynote speaker at SIGKDD 2021 MiLeTS workshop (August 2021)
Steering committee member for the SIGKDD epiDAMIK workshop
Awarded NSF IIS Medium grant on uncertainty quantification (July 2021)
Background
Professor and Associate Chair for Academic Affairs at the School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology
Research interests lie in Data Science, Machine Learning, and AI, with a focus on big-data problems in networks and sequences
Focuses on understanding and efficiently managing dynamical processes (e.g., propagation) on networks across natural, social, and technological systems
Research is motivated by applications in public health, computational epidemiology, cybersecurity, urban computing, and the web
Combines theoretical model analysis, efficient algorithm development, and empirical studies on large-scale data