Sriram Chandrasekaran

Associate Professor, Biomedical Engineering, College of Engineering & Michigan Medicine

Computer models of protein networks

Sriram Chandrasekaran, PhD, is an Associate Professor, Biomedical Engineering, College of Engineering & Michigan Medicine

Dr. Chandrasekaran’s Systems Biology and Drug Discovery lab develops computer models to decipher how thousands of proteins work together to orchestrate complex processes like embryonic development or metabolism and how this complex network breaks down in diseases like cancer. They are developing software tools to design drug combinations with enhanced potency and reduced potential for developing resistance. Systems biology software tools developed by his lab are available at https://systemsbiologylab.org/software. He teaches the AI in BME (BME 487) course that introduces students to AI and machine-learning algorithms and their applications in BME. Learn more at the course website: https://systemsbiologylab.org/ai-bme-syllabus

Research Overview: We develop computational algorithms that integrate omics measurements to create detailed genome-scale models of cellular networks. Some clinical applications of our algorithms include finding metabolic vulnerabilities in pathogens (M. tuberculosis) using PROM, and designing multi combination therapeutics for reducing antibiotic resistance using INDIGO.

Accomplishments and Awards

AI Predicts Patient Response to Specific TB Treatments
2022 Propelling Original Data Science (PODS) Grant Award: Combating and predicting drug resistance using a hybrid mechanistic machine learning model
Multimodal AI model may guide personalized treatments for tuberculosis

COntact

734-647-0000

csriram@umich.edu

Website

Location

Ann Arbor

Methodologies

Data Integration / Data Mining / Machine Learning / Mathematical and Statistical Modeling / Networks / Optimization / Statistics

Applications

Biological Sciences / Healthcare Research / Informatics