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Analyzing, predicting and engineering immune responses
A Medicine by Design and IBBME special seminar.
Sai Reddy, Assistant Professor
Department of Biosystems Science and Engineering
The ability to predict and correspondingly manipulate an adaptive immune response would be highly valuable for biotechnology and medicine. To achieve this requires a greater molecular understanding of adaptive immunity.
Recent advances in high-throughput immune (antibody and TCR) repertoire sequencing are enabling highly quantitative analysis of adaptive immune responses. This increased immunological insight has been applied to fields as varied as immune cell development, immunodiagnostics, vaccine development, cancer immunotherapy, and antibody drug discovery.
Here, I will present the computational and experimental methods my group has developed in immune repertoire sequencing and their associated applications.
For example, we have recently developed a comprehensive error and bias correction method that enables highly accurate sequencing. We are also applying machine-learning approaches that enable prediction antigen exposure and specificity.
Finally, I will also highlight recent work in our group aimed towards engineering immune cells with genome editing technology, for applications in protein engineering and cellular immunotherapy.
Sai Reddy has been a tenure-track assistant professor since February 2012 in the Dept. of Biosystems Science & Engineering, ETH Zurich, Switzerland.
His research group uses methods in systems and synthetic biology to study and manipulate immune responses for applications in biotechnology, vaccination, and immunotherapy.
Sai Reddy holds B.S. (2003) and M.S. (2004) in Biomedical Engineering from Northwestern University (Evanston, IL, USA). He completed his Ph.D. thesis at Ecolé Polytechnique Féderale de Lausanne (EPFL, Switzerland) in Bioengineering and Biotechnology (2008). Reddy completed post-doctoral research at the University of Texas, Austin (2008-2011).