Spring 2026 BMEN & COMS E4575 section 001

High-dimensional statistics for biomedic

HD Stat for biomedical da

Call Number 13326
Day & Time
Location
R 10:10am-12:40pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructors Elham Azizi
Andrew J Blumberg
Type LECTURE
Method of Instruction In-Person
Course Description

Statistical machine learning techniques and advanced mathematical concepts for analysis of high-dimensional biomedical data. Topics include optimal transport and probabilistic modeling for multi-modal genomic and imaging data integration and analysis of spatial and temporal dynamics. Programming assignments, problem sets, and a final project will be required.

Web Site Vergil
Department Biomedical Engineering
Enrollment 0 students (40 max) as of 12:06PM Tuesday, October 14, 2025
Subject BMEN & COMS
Number E4575
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS, Medicine
Section key 20261BMCS4575E001