Alexander Rodríguez, PhD
He/Him
Assistant Professor, Computer Science
Engineering
Alexander is an Assistant Professor in CSE at the University of Michigan. He received his PhD in Computer Science from the Georgia Institute of Technology. His research is at the intersection of machine learning, time series, and scientific modeling, and his main application domains are public health and community resilience. He has published at top venues such as AAAI, NeurIPS, ICLR, KDD, WWW, AAMAS, PNAS and has organized workshops and tutorials at AAAI and KDD. His work won the best paper award at ICML AI4ABM 2022 and was awarded the 1st place in the Facebook/CMU COVID-19 Challenge and the 2nd place in the C3.ai COVID-19 Grand Challenge. He was also invited to the Heidelberg Laureate Forum in 2022, and named a ‘Rising Star in Data Science’ by the University of Chicago Data Science Institute in 2021 and a ‘Rising Star in ML & AI’ by the University of Southern California in 2022. The College of Computing at Georgia Tech awarded him the Outstanding Dissertation Award 2024.
Projects:
Agent-based Models, Artificial Intelligence, COVID-19, Forecasting, Influenza, Public health
University Affiliation(s)
MIDAS | e-Hail
Community and Professional Affiliation(s)
Mayo Clinic
Research Area(s)
Artificial Intelligence | Epidemiology | Infectious Diseases
Publications
Grants
- Co-investigator of: Michigan-Public Health Integrated Center for Outbreak Analytics and Modeling
- Co-investigator of: PIPP Phase II: Theme 2: AI Guidance under Uncertainty to Address and Reduce Disease Spread (AI-GUARDS)
- Co-investigator of: PIPP Phase II: Theme 4 BEHIVE - BEHavioral Interaction and Viral Evolution for Pandemic Prevention and Prediction