BME BREAKS: Elham Azizi, PhD, Columbia University
Friday,
July 31, 2020
12:00 PM - 1:00 PM
Online Event
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TwitterOn Friday, July 31st @ 12:00PM EDT, we welcome Professor Elham Azizi from the Department of Biomedical Engineering at Columbia as she presents, “Machine learning for modeling the dynamics of the tumor microenvironment.”
ABOUT THE JULY 31 WEBINAR
Cancer therapies succeed only in a subset of patients partly due to the heterogeneity of cells across and within tumors. Recent genomic technologies that measure features at the resolution of single cells, present exciting opportunities to characterize unknown cell types in the complex tumor microenvironment, and elucidate their circuitry and role in driving response to therapies. However, analyzing and integrating single-cell data across patients, time-points, and data modalities involves significant statistical and computational challenges. I will present a set of machine learning methods developed to address challenges such as handling sparsity and noise, distinguishing technical variation from biological heterogeneity, inferring underlying circuitry, and tackling limitations of clinical experimental design. I will also present novel biological insights obtained from applying these methods to multiple cancer systems. These results include continuous phenotypic expansion of immune cells when interfacing with breast tumors, and detecting key T cell subsets with divergent temporal dynamics that define response to immunotherapy in leukemia.
ABOUT THE SPEAKER
Elham Azizi, PhD
Herbert & Florence Irving Assistant Professor of Cancer Data Research in the Irving Institute for Cancer Dynamics and Assistant Professor in the Department of Biomedical Engineering at Columbia University
Elham completed her postdoctoral training at Memorial Sloan Kettering Cancer Center and Columbia University. She received a PhD in Bioinformatics from Boston University, an MS degree in Electrical Engineering from Boston University and a BS in Electrical Engineering from Sharif University of Technology. She is a recipient of the NIH NCI Pathway to Independence Award, the Tri-Institutional Breakout Prize for Junior Investigators, and an American Cancer Society Postdoctoral Fellowship. She joined the faculty of Columbia University in January 2020. She is also affiliated with the Department of Computer Science, Data Science Institute, and the Herbert Irving Comprehensive Cancer Center.
BME BREAKS SCHEDULE
August 7 - James J. Collins, PhD, MIT
“Synthetic biology: life redesigned”
August 14 - José McFaline-Figueroa, PhD, University of Washington
“Defining drug-induced molecular landscapes with multiplex single-cell genomics”
August 21 - Christoph Juchem, PhD, Columbia University BME
“In vivo magnetic resonance spectroscopy - a tool for translational and clinical research”
ABOUT THE JULY 31 WEBINAR
Cancer therapies succeed only in a subset of patients partly due to the heterogeneity of cells across and within tumors. Recent genomic technologies that measure features at the resolution of single cells, present exciting opportunities to characterize unknown cell types in the complex tumor microenvironment, and elucidate their circuitry and role in driving response to therapies. However, analyzing and integrating single-cell data across patients, time-points, and data modalities involves significant statistical and computational challenges. I will present a set of machine learning methods developed to address challenges such as handling sparsity and noise, distinguishing technical variation from biological heterogeneity, inferring underlying circuitry, and tackling limitations of clinical experimental design. I will also present novel biological insights obtained from applying these methods to multiple cancer systems. These results include continuous phenotypic expansion of immune cells when interfacing with breast tumors, and detecting key T cell subsets with divergent temporal dynamics that define response to immunotherapy in leukemia.
ABOUT THE SPEAKER
Elham Azizi, PhD
Herbert & Florence Irving Assistant Professor of Cancer Data Research in the Irving Institute for Cancer Dynamics and Assistant Professor in the Department of Biomedical Engineering at Columbia University
Elham completed her postdoctoral training at Memorial Sloan Kettering Cancer Center and Columbia University. She received a PhD in Bioinformatics from Boston University, an MS degree in Electrical Engineering from Boston University and a BS in Electrical Engineering from Sharif University of Technology. She is a recipient of the NIH NCI Pathway to Independence Award, the Tri-Institutional Breakout Prize for Junior Investigators, and an American Cancer Society Postdoctoral Fellowship. She joined the faculty of Columbia University in January 2020. She is also affiliated with the Department of Computer Science, Data Science Institute, and the Herbert Irving Comprehensive Cancer Center.
BME BREAKS SCHEDULE
August 7 - James J. Collins, PhD, MIT
“Synthetic biology: life redesigned”
August 14 - José McFaline-Figueroa, PhD, University of Washington
“Defining drug-induced molecular landscapes with multiplex single-cell genomics”
August 21 - Christoph Juchem, PhD, Columbia University BME
“In vivo magnetic resonance spectroscopy - a tool for translational and clinical research”
RSVP at the link above!
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