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Faculty Research Awards 2021


2021 JPMC AIR Faculty Research Award - Kick-off

Financial Crime

Engineer Bainomugisha

Makerere University

Generating Synthetic Datasets for Mobile Money Transactions for AI Research

Contacts: Parisa Hassanzadeh, Vamsi Potluru

Jure Leskovec

Stanford University

ROLAND 2.0: Graph Representation Learning for Transaction Networks

Contacts: Daniel Borrajo, Vamsi Potluru

Milind Tambe

Harvard University

Policies for Supervisory Audits: A Security Games and Bandit approach

Contacts: Sumitra Ganesh, Parisa Hassanzadeh


Gilad Asharov

Bar-Ilan University

Scaling Secure Computation for Data Centers

Contacts: Tucker Balch, Antigoni Polychroniadou


Heather Miller

Carnegie Mellon University

Distributed Data Structures for Federated Learning

Contacts: Joshua Lockhart, Antigoni Polychroniadou


Giulia Fanti

Carnegie Mellon University

Producing Privacy-Preserving, Synthetic Time Series Datasets with Generative Adversarial Networks

Contacts: Vamsi Potluru, Yousef El-Laham

Rafail Ostrovsky

University of California, Los Angeles

CEDRIC: seCurE anD pRIvate Computation

Contacts: Antigoni Polychroniadou, Tucker Balch

Yan Liu

University of Southern California

Time Series Synthesization: Models, Evaluation Metrics and Benchmark Dataset

Contacts: Saumitra Mishra, Vamsi Potluru  

Daniela Rus

Massachusetts Institute of Technology

Auditable Debiased Decision Making

Contacts: Tucker Balch, Jason Long

Michael Mahoney

University of California, Berkeley

Interpretable machine learning methods for financial analytics

Contacts: Saumitra Mishra, Vamsi Potluru


Dawn Song

University of California, Berkeley

PrivShare: Privacy-preserving Data Analysis over Multiple Data Sources

Contacts: Antigoni Polychroniadou, Jacob Maat  

Shuran Song

Columbia University

Decoding Economic Trends with Human-in-the-loop Machine Perception

Contacts: Zhen Zeng, Joshua Lockhart



Economic Systems

Novella Bartolini

Sapienza University of Rome

Understanding interdependent market dynamics: vulnerabilities and opportunities

Contacts: Svitlana Vyetrenko, Tucker Balch  

Nathan Kallus

Cornell University

Offline Reinforcement Learning: Efficiency, Safety, Transparency, and Fairness

Contacts: Thomas Spooner, Daniele Magazzeni


Fernando Fernandez

Universidad Carlos III de Madrid

Adversarial Reinforcement Learning: Avoiding Malicious Behaviours

Contacts: Svitlana Vyetrenko, Kshama Dwarakanath

Sergey Levine

University of California, Berkeley

Offline Reinforcement Learning in Multi-Agent Networks: Smart Decisions from Logged Data



Chelsea Finn

Stanford University

Rapid and Robust Adaptation to Temporal Distribution Shift

Contacts: Sumitra Ganesh, Nelson Vadori

Rahul Savani

University of Liverpool

Robust Trading via Multi-Agent Adversarial Reinforcement Learning

Contacts: Svitlana Vyetrenko, Nelson Vadori


Nikolas Kantas

Imperial College London

Secure and Self-Optimizing Distributed Inference

Contacts: Vamsi Potluru, Yousef El-Laham

Zhangyang Wang

University of Texas at Austin

Learning Optimizers Made Adaptable and Applicable to Multi-Agent Systems

Contacts: Svitlana Vyetrenko, Nelson Vadori


Cognitive Workflows (Employees)

Umut Acar

Carnegie Mellon University

Diderot: Building the Next Generation Education Platform

Contacts: Salwa Alamir, Sameena Shah

Dorsa Sadigh

Stanford University

Learning and Leveraging Representations in Repeated Multi-Agent Interactions

Contacts: Daniel Borrajo, Parisa Zehtabi  


Christina Lee Yu

Cornell University

Exploiting Low Rank Structure for Provably Efficient Reinforcement Learning

Contacts: Sumitra Ganesh, Thomas Spooner


Giuseppe De Giacomo

Sapienza University of Rome

Resilience-based Generalized Planning and Strategic Reasoning

Contacts: NSunandita Patra, Daniele Magazzeni


Laurence Tratt

King’s College London

MIG: Migrating Languages

Contacts: Natraj Raman, Sameena Shah


Subbarao Kambhampati

Arizona State University

Automated Extraction and Execution Support for Cognitive Workflows in Finance

Contacts: Daniel Borrajo, Alberto Pozanco Lancho


William Yang Wang

University of California, Santa Barbara

OpenFinQA: Open Financial Question Answering via Tables and Text

Contacts: Charese Smiley, Sameena Shah

Jay Pujara

University of Southern California

A Table Understanding Approach to Improving Quantitative Cognitive Workflows

Contacts: Armineh Nourbakhsh, Sameena Shah


Diyi Yang

Georgia Tech

Scalable Modeling of Financial Documents for Improved

Contacts: Charese Smiley, Natraj Raman


Client Experience

Elias Bareinboim

Columbia University

Causal Reinforcement Learning for Optimal and Personalized Decision-Making

Contacts: Sumitra Ganesh, Vamsi Potluru


Sarit Kraus

Bar-Ilan University

Meta-agents for human-agent collaboration

Contacts: Danial Dervovic, Daniele Magazzeni


Jundong Li

University of Virginia

Usable, Interpretable, and Fair Causal Effects Learning for Financial Applications

Contacts: Tucker Balch, Antigoni Polychroniadou


Nishant Mehta

University of Victoria

Attention pays: learning a structured model of client interest for improved financial product recommendations

Contacts: Nishant Mehta, Vamsi Potluru

Policy Compliance

Elefelious Getachew Belay

Addis Ababa Institute of Technology

Exploring AI and Machine Learning Technologies to track Policy Compliance of Highly Trusted Parties (HTPs) and incidents of Fraud at selected banking Intuitions in Ethiopia

Contacts: Mahmoud Mahfouz, Daniele Magazzeni


Kamalakar Karlapalem

IIIT Hyderabad

Applied Semantics Extraction and Analytics over Banking Documents

Contacts: Natraj Raman, Zhiqiang Ma


Ethical AI

Sebastian Angel

University of Pennsylvania

Private Federated Analytics with Efficient Key Management

Contacts: Antigoni Polychroniadou, Sahar Mazloom


Genevera Allen

Rice University

Improving Fairness and Interpretability of AI Systems through Minipatch Learning

Contacts: Svitlana Vyetrenko, Kshama Dwarakanath


Thomas Ristenpart

Cornell University

Improving Tech Abuse Interventions with IPV Survivors

Contacts: Antigoni Polychroniadou, Zhen Zeng


Xia Hu

Rice University

Multi-Aspect Interpretation Framework for Understanding AI Models on Financial Adverse Actions

Contacts: Saumitra Mishra, Cecilia Tilli

Dana Dachman-Soled

University of Maryland

Joint Fairness and Privacy Design for Financial Machine Learning Algorithms

Contacts: Danial Dervovic, Ivan Bruguer


Lin Tan

Purdue University

Testing and Improving the Fairness and Correctness of AI Systems: A Variance Perspective

Contacts: Salwa Alamir, Sameena Shah


Julia Stoyanovich

New York University

Nutritional Labels for Financial Products and Credit Decisions: Strengthening Accountability Through Public Disclosure

Contacts: Naftali Cohen, Danial Dervovic