I am an assistant professor in the Department of Computer Science at the University of Iowa. My research interest lies in data mining and machine learning, with a focus on dynamical processes on large networks. My recent works include machine learning on graphs, network structure optimization, graph mining to mitigate healthcare-associated infections, mining clinical data for personalized patient risk prediction, e-commerce search and fraud detection, outbreak detection in hospitals, and so on.

I am also a member of the inter-disciplinary Computational Epidemiology Group , where I primarily investigate problems motivated by public health such as propagation of diseases via contact network, forecasting outbreaks of infectious diseases, and designing optimal surveillance systems.

Prior to joining UIowa, I received my PhD in Computer Science from Virginia Tech under the supervision of Prof. B. Aditya Prakash. I received my Bachelor’s degree in Computer Engineering from Vistula University in Warsaw, Poland.

News

• 06-2025: [Paper] Our paper titled ``Contact Observations from an Intensive Care Unit'' got accepted to Nature Scientific Data. Congratulations to Hieu!
• 06-2025: [Paper] Our paper on generating synthetic mobility logs in healthcare facilities got accepted to ECML/PKDD. Congratulations to Hieu!.
• 06-2025: [Student] Akash is starting his internship at Marshfield Clinic Research Institute. Congratulations and good luck to him!
• 05-2025: [Paper] Our paper on implicit subgraph neural network was accepted at ICML 2025! Congratulations to Yongjian, Liao, and Hieu.
• 03-2025: [Conference] I am honored to give a keynote address at the DS2MH workshop at SDM 2025. Many thanks to the workshop organizers.
• 03-2025: [Student] Akash has been awarded the Graduate College Post-Comprehensive Research Fellowship for Fall 2025. Congratulations to him!
• 01-2025: [Grant] I am thrilled to share that I have received the NSF CAREER award to develop online algorithms to combat Healthcare Associated Infections (HAIs) and Antimicrobial Resistance Organisms (AMROs) outbreaks.
• 12-2024: [Paper] Our paper on conformal link prediction was accepted at SDM 2025. Congratulations to my students Akash and Yongjian. In total, three papers accepted at SDM 2025!
• 12-2024: [Paper] Our paper on domain knowledge aware contrastive learning for health applications was accepted at SDM 2025. Congratulations to my students Akash and Hieu.
• 12-2024: [Paper] Our paper on estimating unobserved infections during epidemics was accepted at SDM 2025.
• 08-2024: [Conference] We are organizing the seventh iteration of the epiDAMIK workshop at SIGKDD 2024.
• 06-2024: [Paper] Our paper on "Efficient and Effective Implicit Dynamic Graph Neural Network " was accepted for presentation at SIGKDD 2024. Congratulations to my students Yongjian and Hieu.
• 05-2024: [Paper] Our paper on "Hospitalizations Among Family Members Increase the Risk of MRSA Infection in a Household " was accepted for publication in Infection Control & Hospital Epidemiology.
• 04-2024: [Conference] Organizing IEEE Big Data 2024 as a Vice-Co-Chair for Big Data Search and Mining.
• 03-2024: [Paper] Our paper on "End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities" was accepted at IEEE ICHI 2024. Congratulations to my students Yongjian and Weiyu.
• 03-2024: [Paper] Excited to Share that our paper titled "Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery" was accepted at IEEE ICHI 2024. Thanks to the collaborators from Jha lab (ECE@UIowa) for leading this effort.
• 01-2024: [Conference] Very Excited to join the Organization Committee of IEEE BIG DATA 2024 (being held in Washington DC in December 2024) as Vice Co-Chair for Big Data Search and Mining.

Funding

Active

• [Sole Principal Investigator] NSF CAREER: Online Algorithms for Real-time Interventions against Healthcare Associated Infections. (2025-2030) Total amount: $600,000
• [Site Principal Investigator] NSF Collaborative Research: CyberTraining: Implementation: Small: Inclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research. (2023-2026). Total Amount: $500,000
• [Co-Principal Investigator] NSF SCH: Shallow and Deep Personalization for Hearing Aids. (2023-2027). Total Amount: $1.2M

Completed

• [Co-Investigator] UIowa OVPR Interdisciplinary Scholars Grant. (2022-2025) Total amount: $220,000
• [Principal Investigator] UIowa OVPR Jumpstarting Tomorrow Health Disparities and Machine Learning Community Feasibility Grant. (2021-2022) Total amount: $25,000
• [Co-Investigator] CDC MInD Healthcare Network Covid-19 Supplemental Funding. (2020-2022) Total amount:$1.2M

Contact

Email: [firstname]-[lastname]@uiowa.edu

Office: 258 MH