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With David Knowles (Prof. Systems Biology, Columbia).
Wednesday, February 20, 2019 at 04:00 PM   Absolutely Free
NY Genome Center, 101 6th Ave
 
     
 
 
              

            
 
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DETAILS
4-5PM: Lecture & Audience Q&A5-6PM: Networking & Cocktail Reception
David A. Knowles, PhDCore Faculty MemberNew York Genome Center
Assistant Professor, Department of Systems BiologyColumbia University

David Knowles, PhD, is a Core Faculty Member at the New York Genome Center. He holds a joint appointment as Assistant Professor in the Department of Systems Biology at Columbia University.

His research focuses on the development of novel machine learning methods & their application to data analysis challenges in genomics with the aim to better understand the role of transcriptomic dysregulation across the spectrum from rare to common genetic disease. Another key area of study is better characterization of the genetic & environmental factors contributing to mRNA expression & splicing variation. The lab works with diverse research groups in collecting large-scale genomics datasets in the context of neurological disease & developing novel genomic technologies including single cell methods, forward genetic screens & long-read transcriptomics.
Dr. Knowles received a MEng from the University of Cambridge & a MSc Bioinformatics & Systems Biology from Imperial College London. He obtained a PhD in Engineering (Machine Learning) from the University of Cambridge under the mentorship of Dr. Zoubin Ghahramani & was the Roger Needham Scholar at Wolfson College, funded by Microsoft Research. Prior to joining NYGC, he was a postdoctoral fellow at Stanford University, under the mentorship of Drs. Sylvia Plevritis (Center for Computational Systems Biology/Radiology) & Jonathan Pritchard (Genetics), & Daphne Koller (Computer Science).
To learn more about Dr. Knowles,visitGoogle Scholar - David A. Knowles, PhD

 
 
 
 
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