- Publications: multiple papers accepted in top conferences and journals such as IEEE BigData, PLoS Computational Biology, Nature Scientific Data, ECML/PKDD, ICML, etc.
- Awards: Recognized as an OUTSTANDING reviewer (top 10% of reviewers) by KDD 2025
- Projects: Received NSF CAREER award to develop online algorithms to combat Healthcare Associated Infections (HAIs) and Antimicrobial Resistance Organisms (AMROs) outbreaks
Research Experience
- Assistant Professor at the Department of Computer Science, University of Iowa
- Member of the Computational Epidemiology Group, investigating public health-related problems
Education
- PhD in Computer Science from Virginia Tech, supervised by Prof. B. Aditya Prakash
- Bachelor’s degree in Computer Engineering from Vistula University, Warsaw, Poland
Background
- Research Interests: data mining and machine learning, with a focus on dynamical processes on large networks
- Specialization: machine learning on graphs, network structure optimization, mitigating healthcare-associated infections, mining clinical data for personalized patient risk prediction, e-commerce search and fraud detection, outbreak detection in hospitals, etc.
- Brief Introduction: Assistant Professor at the Department of Computer Science, University of Iowa, and a member of the Computational Epidemiology Group, focusing on problems motivated by public health such as disease propagation via contact networks, forecasting outbreaks of infectious diseases, and designing optimal surveillance systems.