Herbert & Florence Irving Assistant Professor of Cancer Data Research, Irving Institute for Cancer Dynamics
Assistant Professor, Department of Biomedical Engineering
Affiliated Faculty, Department of Computer Science
Affiliated Member, Data Science Institute
Bio: Elham completed her postdoctoral training in the Dana Pe’er Lab at Memorial Sloan Kettering Cancer Center and Columbia University. She received a PhD in Bioinformatics from Boston University, advised by James Galagan (Biomedical Engineering, BU) and collaborating with Edoardo Airoldi (Statistics, Harvard), an MS degree in Electrical Engineering from Boston University and a BS in Electrical Engineering from Sharif University of Technology. She joined the faculty of Columbia Biomedical Engineering and Irving Institute of Cancer Dynamics in 2020. Her multidisciplinary research utilizes novel machine learning techniques and single-cell genomic and imaging technologies to study the dynamics and circuitry of cells in the tumor microenvironment. She is a recipient of the the Tri-Institutional Breakout Prize for Junior Investigators, NIH NCI Pathway to Independence Award, and an American Cancer Society Postdoctoral Fellowship.
Teaching: BMEN 4480 Statistical Machine Learning in Genomics