Jiahao Chen (Preferred)
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.
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
Personal Links
Add links to your profiles on other sites. (Optional)
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)
2022 – Present
CTO
Parity (getparity.ai)
2021 – 2022
AI Research Director
J.P. Morgan Chase (jpmorgan.com)
2019 – 2021
Senior Manager
Capital One (capitalone.com)
2017 – 2019
Research Scientist
Computer Science and Artificial Intelligence Laboratory, Electrical Engineering & Computer Science (csail.mit.edu)
2013 – 2017
Postdoc
Massachusetts Institute of Technology (mit.edu)
2009 – 2013
PhD student
University of Illinois, Urbana-Champaign (uiuc.edu)
2004 – 2009
MS student
University of Illinois, Urbana Champaign (illinois.edu)
2004 – 2008
Member of Technical Staff
DSO National Laboratories Singapore (dso.org.sg)
2002 – 2004
Undergrad student
University of Illinois, Urbana-Champaign (uiuc.edu)
2000 – 2002
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
2009 – 2013
PhD Advisor
Todd Martinez
****@gmail.com
2004 – 2009
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
2019 – Present
data management
2019 – Present
explainability in machine learning
2018 – Present
fairness in machine learning
2017 – Present
data science
2017 – Present
applications in financial services
2017 – Present
network analysis
2016 – Present
matrix factorizations
2013 – Present
random matrix theory
2012 – Present
programming languages
2013 – 2017
computational physics
2000 – 2013
computational chemistry
2000 – 2013