Harikrishna Narasimhan

Google

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Harikrishna Narasimhan (Preferred)

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.

****@google.com
,
****@gmail.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Research Scientist
Google (google.com)
2018Present
 
Postdoc
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
20152018
 
PhD student
Indian Institute of Science Bangalore., Indian institute of science, Bangalore (iisc.ernet.in)
20122015
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Collaborator
Sanmi Koyejo
****@illinois.edu
Present
 
Intern
Gaurush Hiranandani
****@illinois.edu
Present
 
Intern
Qijia Jiang
****@stanford.edu
Present
 
Intern
Olaoluwa Adigun
****@gmail.com
Present
 
Collaborator
Harish G Ramaswamy
****@cse.iitm.ac.in
Present
 
Collaborator
Shiv K Tavker
****@smail.iitm.ac.in
Present
 
Collaborator
Zhe Feng
****@g.harvard.edu
Present
 
Collaborator
Sai Srivatsa R
****@g.harvard.edu
Present
 
Collaborator
Paul Duetting
****@google.com
Present
 
Coworker
Tianbao Yang
****@uiowa.edu
Present
 
Postdoc Advisor
David C. Parkes
****@eecs.harvard.edu
20152018
 
PhD Advisor
Shivani Agarwal
****@seas.upenn.edu
20122015
 

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

Fairness, Constrained Optimization, Performance Metrics, Ranking, Non-decomposable Metrics
Present