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J.P. Morgan is a global leader in financial services, offering solutions to the world's most important corporations, governments and institutions in more than 100 countries. As announced in early 2018, JPMorgan Chase will deploy $1.75 billion in philanthropic capital around the world by 2023. We also lead volunteer service activities for employees in local communities by utilizing our many resources, including those that stem from access to capital, economies of scale, global reach and expertise.

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Faculty Research Awards 2022


2022 JPMC AIR Faculty Research Award - Kick-off


AI to Eradicate Financial Crime

Leandros Tassiulas

Yale University

Combining DeFi and AI for Intelligent DeFi applications

Chenhao Tan

University of Chicago

Generating Multimodal Explanations for Financial Decisions


Michael Wellman

University of Michigan

Strategic Modeling of Fraud on the Payments Network

Daniel Wichs

Northeastern University

Private Information Retrieval and Secure Computation over Big Data

Furong Huang

University of Maryland

Repelling Security Vulnerabilities in AI-augmented Financial Decision-Making Systems


Nihar Shah

Carnegie Mellon University

Outsourcing Development of Fraud-Detection AI while Preserving Data Privacy 


AI to Liberate Data Safely

Charalampos Papamanthou

Yale University

New Zero-Knowledge Arguments for Cryptocurrencies


Yevgeniy Dodis

New York University

Privacy and Integrity in the Web3


Abhishek Jain


Crowd-Sourced Secure Machine Learning




Georgetown University

Lightweight Publicly Verifiable Distributed Privacy-Preserving Machine Learning


Elaine Shi

Carnegie Mellon University

Scaling Privacy-Preserving AI to Big Data


Jun-Yan Zhu

Carnegie Mellon University

Large-Scale Dataset Distillation for Privacy-Preserving Machine Learning


Steven Wu

Carnegie Mellon University

Advancing Privacy-Preserving Data Sharing with Synthetic Data Generation


AI to Predict and Affect Economic Systems

Judong Li

University of Virginia

Counterfactual Graph Generation for Explaining Financial Decisions


Renyuan Xu

University of Southern California

Mean-field approximation for multi-agent systems: towards scalable AI-driven decision-making and simulation methods in financial markets

Alessandro Abate

University of Oxford

Learning and Reasoning in Repeated Games with Partial Information


Paul Goldberg

University of Oxford

Price discovery via decentralised networks of trading agents


Dorsa Sadigh

Stanford University

Fair Gifting for Emergent Prosociality in Multi-Agent Coordination


Mohammad M Ghassemi

Michigan State University

The Evolution of Private Capital Modeled as a Temporal Hyper-Graph


Alexandros Iosifidis

Aarhus University

Bayesian Learning of Deep Neural Networks for financial  time-series and graph data analysis with class-imbalance


AI to Empower Employees


Washington University in St. Louis

Forming Representative Cohorts: Sequential Recruitment under Uncertainty

Vukosi Marivate

University of Pretoria

Topic classification modelling of code-mixed and code-switched language for low-resource South African languages


Quanquan Gu

University of California, Los Angeles

Multi-Objective and Causal Reinforcement Learning for Responsible and Explainable AI in Finance


Lin Tan

Purdue University

Domain-specific Neural Networks for Improving Code Quality and Productivity


Himabindu Lakkaraju

Harvard University

Understanding and Mitigating Privacy Risks of Algorithmic Recourse


Xiaodan Zhu

Department of Electrical and Computer Engineering, Queen's University

Exploring Robust Reasoning Models for Financial Text


Zachary Lipton

Carnegie Mellon University

Interactive and Trustworthy Neural Summarization


Gilad Asharov

Bar-Ilan University

FinSec: Secure Analytics over Financial Data


Sarit Kraus

Bar Ilan University

Explanations of AI-Based Resource Allocations 


AI to Perfect Client Experience

William Yeoh

Washington University in St. Louis

Improving Client Experience Through Goal Recognition and Explainable Assistance in Adaptive Systems


Lingjia Tang

University of Michigan

Towards Personalized Intelligence at Scale


Monica Lam

Stanford University

Neural, Self-Learning, Mixed-Initiative Conversational Assistants


Jiajun Wu

Stanford University

Machine Visual Interpretation, Optimization, and Synthesis of Cognitive Workflows

Vinayak Abrol

Indraprastha Institute of Technology Delhi

Sampling Rate Independent Descriptors for Improving Speech Data Analytics


Pradeep Ravikumar

Carnegie Mellon University

Inferring Latent Causal Factors of Client Behavior


Policy Compliance

David Byrd

Bowdoin College

Multi-Agent Market Simulation to Reduce Inadvertent Adoption of Malappropriate Behaviors in Intelligent Trading Algorithms


Establish Ethical and Socially Good AI

Odest Chadwicke Jenkins

University of Michigan

Semantic Frame Mapping for  Building-wide Perception and Affordance Execution