Mohammadali Alidoost, MSc

PhD Student
University of California Los Angeles

Mohammadali Alidoost is a Ph.D. student at the UCLA Department of Bioengineering. He has conducted research in computational fluid dynamics and applied machine learning methods to analyze various medical data in the past. His current research interest includes developing computational techniques to understand biological systems, particularly, investigating how proteins, downstream of drug targets, can affect the drug-induced phenotypes.

Poster(s):

• LB-001 - MACHINE LEARNING (ML) METHODS FOR PROGRESSION-FREE SURVIVAL (PFS) AND OVERALL SURVIVAL (OS) PREDICTION: RE-ANALYSIS OF JAVELIN HEAD AND NECK 100 DATA.