Soumya Ghosh (Preferred)
Soumya Ghosh
International Business Machines
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@us.ibm.com
, ****@cs.brown.edu
Personal Links
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Education & Career History
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Research Scientist
International Business Machines (ibm.com)
2016 – Present
Postdoc
Disney Research (disney.com)
2014 – 2016
PhD student
Brown University (cs.brown.edu)
2009 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Tamara Broderick
****@csail.mit.edu
2019 – Present
Coauthor
Finale Doshi-Velez
****@seas.harvard.edu
2017 – Present
PhD Advisor
Erik Sudderth
****@uci.edu
2009 – 2015
Coauthor
Leonid Sigal
****@disneyresearch.com
2014 – 2014
Coauthor
David Blei
****@cs.princeton.edu
2011 – 2014
Coauthor
Michael Black
****@tuebingen.mpg.de
2011 – 2014
Coauthor
Matthew Loper
****@tuebingen.mpg.de
2011 – 2014
Coauthor
Erik Sudderth
****@cs.brown.edu
2011 – 2014
Coauthor
Michael Black
****@tue.mpg.de
2011 – 2014
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Bayesian methods
Present
Generative Models
Present
Approximate inference - Variational inference, MCMC
Present
Bayesian Nonparametrics
Present
Uncertainty Quantification
Present
Sensitivity Analysis
Present