We offer 1 credit-hour modules over a 5-week span that serve multiple purposes: 1) co-taught by faculty mentors (and their lab members) spanning all three domains, creating a multi-lingual learning and research environment; 2) introduce trainees to a targeted biomedical or biological focus, the data sources, current data analytics tools and results, and current predictive modeling tools and results — in essence, duplicating the start-up process to integrate a new graduate student or postdoc into an interdisciplinary collaboration; 3) serves as an in-depth interview process for students to apply for rotations or funding in that particular research area and collaboration; and 4) serves as a potential nucleating process for creating new tri-domain collaborations (biomedical focus and data, data analytics, predictive modeling).
We solicit conversations and discussions about any ideas that Chairs, Faculty, and Graduate Students might have about modules, especially with regard to 4) above!
For Spring 2020, courses are listed in each department of one of the faculty teaching the course. You should sign up for the course in your home department if that is possible, otherwise, take your pick.
Modules for Spring 2020
- MATH891.002 Cancer Genomics and Class Discovery
- MATH891.003 Computational and Experimental Models of Prosthetic Heart Valves
- MATH891.004 Chromosome Conformation and Dynamics
- MATH891.005 Particle Tracking and Applications to Microrheology, Virology, Molecular Cell Biology, and Lung Biomedicine
- Math 891.006 Topological Data Analysis
- Math 891.007 Physiologically Based, Pharmacokinetic (PBPK) Modeling Approaches to Drug Delivery
- BCB718 Computational Modeling Laboratory