Aaron Roth

Amazon

Names

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

Aaron Roth
,
Aaron Leon Roth

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.

****@cis.upenn.edu
,
****@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.

Amazon Scholar
Amazon (amazon.com)
2020Present
 
Full Professor
University of Pennsylvania (upenn.edu)
2011Present
 
Postdoc
Microsoft Research (microsoft.com)
20102011
 
PhD student
Carnegie Mellon University (cmu.edu)
20062010
 

Advisors, Relations & Conflicts

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

Postdoc Advisee
Travis Dick
****@gmail.com
20202021
 
Postdoc Advisee
Juba Ziani
****@seas.upenn.edu
20192021
 
PhD Advisee
Seth Neel
****@gmail.com
20162020
 
PhD Advisee
Jinshuo Dong
****@gmail.com
20162020
 
PhD Advisee
Matthew Joseph
****@gmail.com
20152020
 
Postdoc Advisee
Jieming Mao
****@google.com
20182019
 
Postdoc Advisee
Bo Waggoner
****@colorado.edu
20162018
 
Postdoc Advisee
Jamie Morgenstern
****@gmail.com
20152017
 
PhD Advisee
Ryan Rogers
****@gmail.com
20132017
 
PhD Advisee
Steven Wu
****@cmu.edu
20122017
 
PhD Advisee
Justin Hsu
****@justinh.su
20112017
 
Postdoc Advisee
Krishnamurthy Iyer
****@stanford.edu
20122013
 
PhD Advisee
Zhiyi Huang
****@gmail.com
20112013
 
PhD Advisor
Avrim Blum
****@ttic.edu
20062010
 

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

Algorithmic fairness, fairness, multicalibration
2015Present
 
Differential privacy, private synthetic data
2007Present
 
Online learning, no regret, online calibration
2007Present
 
Algorithmic game theory, mechanism design, learning in games
2006Present