From Coursework to Real, Publishable-Quality Research
For undergraduates with intro biology and intro stats. Build genuine fluency in statistics, programming, and network science, then execute a mentored research project using real data in the area you choose.
CITI certified
before summer research
2 formats
summer or year-long
6 areas
to specialize in
Choose Your Pace
Both paths end the same way — a reproducible research notebook, a written report, and a symposium presentation. They differ in how the preparation is paced.
10–12 Weeks, Full-Time
Best for a dedicated summer without other major commitments
A full-time summer program covering statistics, programming, graph theory, and network medicine applications, culminating in a mentored research project using real public data — ideal for a study-away term or a summer between years.
25–30 hrs
Full-time
- Statistics, coding, and graph theory in weeks 1–8
- Mentored research project in weeks 9–12
- Accelerated, standalone research experience
2 Semesters + Summer
Best if you want to build toward a specific research area over the year
Quantitative foundations (Fall) and network medicine methods in your chosen research area (Spring) are taken as standard-load async coursework — comparable to a 3-credit course each semester — followed by a full mentored summer research project.
4–5 hrs
Fully async
- Research ethics certification and pre-registration completed before summer
- Mentor and research question locked in by spring
- Summer is execution only, not ramp-up
Not sure which fits? Students with one truly open summer tend to pick Summer Intensive. Students juggling a normal course load who want deeper specialization tend to pick Year-Long.
How the Year Flows
One shared foundation course, then a research-area course, then live summer research.
Quant & Computational Foundations
Stats · Python/R · Git
Your Research Area
One of six pathways
Live Research
Mentored, online
UG-F: Quantitative & Computational Foundations
Applied statistics, multiple-testing correction, Python/R fluency, Git/GitHub, and core molecular biology through a systems lens.
UG-S: Network Medicine Methods & Research Design
Graph theory, multi-omics integration, CITI ethics training, and a deep dive into your chosen research area.
Questions about which format fits your schedule? Talk to a program advisor.