Jiahao Chen

Responsible AI LLC

Names

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

Jiahao Chen (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.

****@jpmchase.com
,
****@gmail.com
,
****@mit.edu
,
****@csail.mit.edu
,
****@capitalone.com
,
****@jpmorgan.com
,
****@getparity.ai
,
****@responsibleai.tech

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.

Owner
Responsible AI LLC (responsibleai.tech)
2022Present
 
CTO
Parity (getparity.ai)
20212022
 
AI Research Director
J.P. Morgan Chase (jpmorgan.com)
20192021
 
Senior Manager
Capital One (capitalone.com)
20172019
 
Research Scientist
Computer Science and Artificial Intelligence Laboratory, Electrical Engineering & Computer Science (csail.mit.edu)
20132017
 
Postdoc
Massachusetts Institute of Technology (mit.edu)
20092013
 
PhD student
University of Illinois, Urbana-Champaign (uiuc.edu)
20042009
 
MS student
University of Illinois, Urbana Champaign (illinois.edu)
20042008
 
Member of Technical Staff
DSO National Laboratories Singapore (dso.org.sg)
20022004
 
Undergrad student
University of Illinois, Urbana-Champaign (uiuc.edu)
20002002
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
Troy Van Voorhis
****@mit.edu
20092013
 
PhD Advisor
Todd Martinez
****@gmail.com
20042009
 

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

reinforcement learning
2019Present
 
data management
2019Present
 
explainability in machine learning
2018Present
 
fairness in machine learning
2017Present
 
data science
2017Present
 
applications in financial services
2017Present
 
network analysis
2016Present
 
matrix factorizations
2013Present
 
random matrix theory
2012Present
 
programming languages
20132017
 
computational physics
20002013
 
computational chemistry
20002013