Bioe6403 Jun 2026

A: Typically in person (wet lab required). However, a remote-synchronous option with at-home lab kits (e.g., paper microfluidics) was piloted in 2022. Check current semester listings.

This course integrates high-throughput biological data with computational models to understand complex biological systems. Topics include gene regulatory networks, single-cell RNA-seq analysis, protein-protein interaction networks, dynamical systems modeling of signaling pathways, and machine learning applications in genomics. Emphasis is placed on reverse-engineering networks from experimental data and validating predictions. bioe6403

“BIOE6403 was the single most useful course for my transition from mechanical engineering to biotech. I used the LNP design project directly in my job interview at Moderna.” — Former student, 2023 A: Typically in person (wet lab required)