Explore a selected computational research question using biological data and transparent analytical methods.
This program brings together three possible research directions: circulating tumor-cell transcriptomics, extracellular-vesicle and tumor-microenvironment markers, and cell-free DNA methylation. Each learner follows one appropriately scoped track. Dataset access, preparation, and analytical depth are established before the project begins.
Proposed learning outcomes for this program example:
The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.
Explore a reproducible computational drug-design workflow using protein structures, docking, and introductory machine learning.
Investigate how vision, geometric reconstruction, and robot motion relate in an educational robotics study.
Explore human-centered research, interface prototyping, and the evaluation of AI-mediated interactions.