NIAID Data Science Monthly Seminar

The NIAID Data Science Seminar is brought to you by the Office of Data Science and Emerging Technologies (ODSET). This is held on the first Friday of each month at 12:00 noon ET. Seminar topics include informatics/data science research in immune-mediated and infectious disease conducted, funded, or relevant to NIAID’s mission. This also provide a forum for disseminating related research and an opportunity for discussions and collaborations.


This seminar is open to the public, but registration is required

Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact at least five business days in advance of the event. 

Upcoming Seminar

Machine Learning for Modeling Dynamics of Immune Cell States

Date: Friday, 12/3/2021 at 12 pm ET


A headshot of Elham Azizi wearing a purple blazer.

Elham Azizi, Ph.D.
Herbert & Florence Irving Assistant Professor of Cancer Data Research at the Irving Institute for Cancer Dynamics 
Assistant Professor of Biomedical Engineering
Columbia University


Recent genomic and imaging technologies that measure features at the resolution of single cells present exciting opportunities to characterize diverse immune cell states in various disease contexts 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. Dr. Azizi will present a set of machine learning methods developed to address problems such as handling sparsity and noise, distinguishing technical variation from biological heterogeneity, inferring underlying circuitry, and inferring temporal dynamics of immune states in clinical cohorts. Dr. Azizi will also present novel biological insights obtained from applying these methods to cancer systems. These results include continuous phenotypic expansion of immune cells when interfacing with breast tumors and detecting key exhausted T cell subsets with divergent temporal dynamics that define response to immunotherapy in leukemia.

Previous Seminars

Previous seminars from the last year are available. If you wish to get more information about these seminars, please contact Steve Tsang.

Contact Information

Nomination for topics and other questions or comments can be submitted by email to Steve Tsang

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