Working With Me
I take students case by case rather than running a standing call, since it depends on what is funded and what I can supervise well at the time. If the work on this site overlaps with what you want to do, I would like to hear from you. Most of the students below came through one of two routes.
Institute programs. The Biocomplexity Institute runs structured research programs that place students with faculty mentors, including Computing for Global Challenges. They handle applications, funding, and the summer cohort, and are the most common way undergraduates start here. Current openings and deadlines are listed under Student Opportunities. Graduate students typically arrive through a UVA degree program in computer science, systems engineering, or data science, and I co-advise on projects that fit.
By email. Write to me at srini@virginia.edu. Attach your CV and answer four questions. A short paragraph each is plenty, and a specific answer beats a polished one.
- What?
- The problem or question you want to work on. Point at a paper, a dataset, or a research area on this site if it helps.
- Why me?
- What connects your interest to this group's work specifically, rather than to computational epidemiology in general.
- Why you?
- What you bring: relevant coursework, code you have written, prior projects, and the methods you are comfortable with.
- When?
- Your timing and how long you can commit, plus whether you need funding, course credit, or neither.
Graduate Students
-
Project: Phase-based Epidemic Time series Analyzer (PEpiTA) Code
Undergraduate Students
- Spillover effects across subpopulations in epidemic simulations Poster
- A multi-scale model for viral dynamics across a population Paper
- Spatiotemporal models for epidemic dynamics PaperAutomatic tile grid map production software Poster
- Predicting epidemic cascades using metapopulation models Poster
- Andrew MurphyHierarchical seasonal autoregressive models for influenza forecasting Video
- Forecasting Aedes mosquito abundance in United States Poster
- Ethan LudwickMachine learning and satellite imagery to map C. odorata in Nepal
- Kingsley Nwosu Jr.Computational methods for stockpile allocation during epidemics
- Asia TaylorAssessing the resolution of Influenza surveillance datasets in the US
Training
- B. Lewis and SV, “Modeling and Simulation Training using EXCEADS platform” Slides
- Mentor, CSTE Peer-to-Peer group on Wastewater Surveillance Report
- “Extracting Categorical Indicators from Epidemiological Timeseries” Slides
- Tutorial on Multi-agent systems for pandemic modeling and response Slides
- Modeling and Simulation Training using SIBEL platform Slides