Rachneet Kaur

(new draft intro)

I am a Vice President and AI Research Lead at J.P. Morgan AI Research in New York, where I lead research on multimodal AI agents. My work aims to build agents that (i) see and reason over visually rich content such as charts, slide decks and financial reports, and (ii) adapt quickly to new tasks, tools and data modalities, including time series. Some recent work:

  • ChartAgent and SlideAgent ACL 2026: agents for visually grounded chart reasoning and multi-page document understanding.
  • AdaptAgent ACL 2025: adapting multimodal web agents from a few human demonstrations; LETS-C ACL 2025: language embeddings for time series classification.
  • 10 filed patents and a JPMorgan Chase Prolific Inventor award (2025); organized 4 workshops and a tutorial at AAAI and ACM ICAIF.

I received my Ph.D. in Industrial Engineering from the University of Illinois Urbana-Champaign, advised by Richard Sowers and working closely with Manuel Hernandez, Justin Sirignano and Roy Campbell. There I built multimodal machine learning for digital health, from vision-based gait analysis for multiple sclerosis and Parkinson's disease to wearable sensors and virtual reality. This work was recognized with the William A. Chittenden II Fellowship (three years) and the Sharp Outstanding Graduate Student Award.

Before my Ph.D., I earned an M.Sc. in Mathematics from IIT Delhi and a B.Sc. (Honours) in Mathematics from the University of Delhi. During my masters, my thesis was advised by Aparna Mehra. Along the way I interned at J.P. Morgan AI Research, Visa Research, 3M and Quantlab, and did research internships at Université Paris 1 Panthéon-Sorbonne and TIFR.

(old intro)

I am a PhD student in the Department of Industrial and Enterprise Systems Engineering at UIUC working with Richard Sowers. I am named the William A. Chittenden II graduate fellow.

I did my bachelors from the University of Delhi and masters from the Indian Institute of Technology (IIT), Delhi in Mathematics.

My research interests lie at the intersection of Computer Vision, Deep Learning and Healthcare.

profile photo
Rachneet Kaur
Vice President, AI Research Lead
PhD, UIUC
Curriculum Vitae (PDF)
kaurrachneet6@gmail.com
Affiliations
J.P. Morgan
Chase
AI Research Lead
2022 – Present
University of Illinois
at Urbana-Champaign
Ph.D., Industrial Engineering
2016 – 2022
Indian Institute of
Technology (IIT) Delhi
M.Sc., Mathematics
2013 – 2015
University
of Delhi
B.Sc. (Hons.), Mathematics
2010 – 2013
Internships
J.P. Morgan Chase
AI Research
Summer 2022
Visa
AI Research
Summer 2019
3M
Software & AI Research
Summer 2018
Quantlab Financial
Quantitative Research
Summer 2017
Université Paris 1 Panthéon-Sorbonne, Paris, France
Statistics, Analysis &
Multidisciplinary Modeling
Summer 2015
Tata Institute of Fundamental Research (TIFR), India
Centre for Applicable Mathematics
Summer 2014
National Institute of Technology
(NIT), Calicut, India
Department of Mathematics
Winter 2013
Updates
Fall 2026Upcoming invited talks on Multimodal AI Agents for Visual Intelligence and Reasoning at CMU Heinz College and the UIUC School of Information Sciences.
Jul 2026Presented ChartAgent and SlideAgent (led by our intern Yiqiao Jin) at ACL 2026 Main, and MM-BizRAG at the ACL 2026 Industry Track. Also chaired the AI Agents session. ChartAgent SlideAgent MM-BizRAG
May 2026Our multi-aspect evaluation of LLM-generated financial reports from stock data appeared at LREC 2026. paper arXiv
Dec 2025ChartAgent was selected for an oral presentation (~15% of accepted papers) at the NeurIPS 2025 Workshop on Multimodal Algorithmic Reasoning, where SlideAgent was also presented. ChartAgent SlideAgent
Jul 2025Presented AdaptAgent (led by our intern Gaurav Verma) and LETS-C at ACL 2025 Main. AdaptAgent LETS-C
2025Named a JPMorgan Chase & Co. Prolific Inventor (Class of 2025) for contributions to the firm's patent portfolio.
Mar 2025Co-organized the AI for Social Impact workshop (finance, social media and crime prevention) at AAAI 2025. webpage
Feb 2025Promoted to Vice President, AI Research Lead at J.P. Morgan AI Research.
Jan 2025Presented LAW, our legal agentic workflows for custody and fund services contracts, at the COLING 2025 Industry Track. paper
Dec 2024AdaptAgent and LETS-C presented at the NeurIPS 2024 workshops on Adaptive Foundation Models and on Time Series in the Age of Large Models. AdaptAgent LETS-C
Nov 2024At ICAIF 2024: TADACap presented as an oral, a talk at our tutorial on rating AI systems for trust, and co-organized the Women in AI and Finance reception. TADACap tutorial slides reception
Nov 2024Our taxonomy and benchmark for LLM time series feature understanding appeared at EMNLP 2024 Main. paper arXiv
2024US Patent 12,031,826 on path-based mapping and routing (from my 3M internship) was granted. patent
Mar 2024Organizing the tutorial on Rating AI Trustworthiness at ACM International Conference on AI in Finance 2024.
Mar 2024Invited talk on 'Mathematics and AI in the Financial Industry' at Punjab Engineering College, India.
Feb 2024Organizing the first workshop on AI in Finance for Social Impact at AAAI 2024.
Nov 2023Organizing Women in AI and Finance workshop at ACM International Conference on AI in Finance 2023.
Sep 2022Started at J.P. Morgan AI Research and moved to New York City! I will continue working on multimodal AI and AI agents.
Sep 2022Defended my Ph.D. thesis!
Apr 2021Received the 2021 UIUC ISE Sharp Outstanding Graduate Student Award
Dec 2020Paper accepted at the IEEE Transactions on Biomedical Engineering (TBME) journal
Aug 2020Renamed the William A. Chittenden II Graduate Fellow for academic year 2020-2021
Oct 2019Received the Kanako Miura Award by the IEEE RAS Technical Committee on Humanoid Robotics
Aug 2019Renamed the William A. Chittenden II Graduate Fellow for academic year 2019-2020
Aug 2018Awarded the William A. Chittenden II Graduate Fellowship for academic year 2018-2019
Mar 2018Received the 2018 Illinois Geometry Lab Research Award. Thanks Department of Mathematics@UIUC!
Dec 2017Selected as the 1st runner up for Mottier Innovation Challenge in Systems Engineering Award
Mar 2015Awarded the Charpak Research Intern Scholarship for summer of 2015
Dec 2012Won the Legacy of Srinivasa Ramanujan Coding Competition
(Awarded at the International conference on Legacy of Srinivasa Ramanujan, 2012)

About Me

I am currently a Ph.D. student in the Department of Industrial Engineering at the University of Illinois at Urbana-Champaign. I am advised by Richard Sowers and also collaborated closely with Manuel Hernandez. My current research is focused on applications of machine learning for unfolding problems in health and finance domain.

Prior to joining PhD, I have earned a B.S. (with honours) in Mathematics from the University of Delhi and an M.S. in Mathematics from the Indian Institute of Technology (IIT), Delhi. During my masters, my thesis was advised by Aparna Mehra.

See some excerpts from my journey here.


Selected Publications
Full list on All publications and Google Scholar
★ Representative work

Conference Proceedings
Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance
Rongyi Sun*, Rachneet Kaur*, Liran Ziegelman, Shuo Yang, Richard Sowers, Manuel Hernandez
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
Project page | Paper | Slides | Video | Cite

Examining the interaction between balance function and anxiety via a VR-based experimental setup, designed to simulate stressful environments involving postural threats.
Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing
Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard Sowers, Manuel Hernandez
41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019
Project page | Paper | Poster | Cite

XXX Description XXX

Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis
Rachneet Kaur, Sanjana Menon, Richard Sowers, Manuel Hernandez
41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019
project page | Paper

XXX Description XXX
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data
Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A Nalls, Andrew B Singleton, Roy H Campbell
Machine Learning for Health (ML4H), Neural Information Processing Systems (NeurIPS), 2018
Project page | arXiv | Poster | Code | Blog

XXX Description XXX

Virtual Reality, Visual Cliffs, and Movement Disorders
Rachneet Kaur, Xun Lin, Alexander Layton, Richard Sowers, Manuel Hernandez
40th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2018
Paper

XXX Description XXX


Awards and Honors

Patents
  • Dec 2025Hierarchical Agentic Framework for Multi-Page Visual Document UnderstandingApplicationJ.P. Morgan Chase
  • Oct 2025Multimodal Agent for Performing Tasks Associated with ChartsApplicationJ.P. Morgan Chase
  • Jul 2025Method and System for Generating a Large Language Model Modular Framework That Constructs a Digital Time Series Analytics ReportApplicationJ.P. Morgan Chase
  • Apr 2025Method and System for Generating a Multi-modal Large Language Model Web Agent For Autonomous Execution of a Virtual ActionApplicationJ.P. Morgan Chase
  • Aug 2024Method and system for leveraging language embeddings for time series classificationsUS 2026/0044760J.P. Morgan Chase
  • Jul 2024Systems and method for evaluating large language models for time series feature understandingUS 2025/0342353J.P. Morgan Chase
  • Dec 2023Method and system for using image analysis for time series forecastingUS 2025/0209049J.P. Morgan Chase
  • Oct 2023Method and system for time-series adaptive domain-aware captioningUS 2025/0111165J.P. Morgan Chase
  • Aug 2023Systems and methods for convolutional neural network and transformer-based time series modelingUS 2025/0045566J.P. Morgan Chase
  • May 2020Methods and systems for path-based mapping and routingUS 12,031,8263M

Posters and Talks
Sep 2021 Deep Learning for Multiple Sclerosis Prediction using Multi-Stride Dynamics in Gait
11th International Symposium on Gait and Balance in Multiple Sclerosis
Aug 2021 Adaptive Control of Stride Length in Response to Perturbations While Walking in Older Women with Osteoarthritis
American Society of Biomechanics (ASB) Annual Meeting, 2021
Predicting Multiple Sclerosis from Gait Dynamics
Nov 2020 Graduate Seminar Series, Industrial & Enterprise Systems Engineering (ISE), UIUC [Video]
Sept 2020 ACM poster presentation session, Virtual Grace Hopper Celebration for Women [Poster]
Nov 2019 Using Virtual Reality High Fall-Risk Condition Training to Improve Postural Control Accuracy and Speed
American Congress of Rehabilitation Medicine 96th Annual conference, Progress in Rehabilitation Research
Oct 2019 Using Virtual Reality to examine the correlation between balance function and anxiety in a quiet stance
Biomedical Engineering Society (BMES) Annual Meeting
Predicting Multiple Sclerosis Disorder from Gait Patterns [Slides]
May 2019 Illinois Geometry Lab Poster Session, Department of Mathematics, UIUC
Mar 2019 9th International IEEE EMBS Conference on Neural Engineering (NER)
IoT Dishwasher [Slides]
Mar 2019 Presented by ISE undergraduate students at the Undergrad Research Symposium, UIUC and
the Engineering Open House, UIUC
Apr 2018 Demo for John Deere's visit, ISE, UIUC
Nov 2017 Demo at the Mottier Innovation Challenge in Systems Engineering, UIUC
Sept 2018 Visual Cliffs, Virtual Reality and Movement Disorders [Poster]
ACM poster presentation session, Grace Hopper Celebration for Women
Apr 2018 Predicting the progressions of Alzheimer’s disease using Machine Learning [Poster]
2nd Illinois Health Data Analytics Summit
Feb 2018 Optimal IoT Control for Power Consumption
Coordinated Science Laboratory Student Conference, UIUC [Poster]
IEEE Power and Energy Conference (PECI) at Illinois [Poster]
Oct 2017 A Brain computer interface approach to examine changes in anxiety while walking in a virtually infinite world
Biomedical Engineering Society (BMES) Annual Meeting [Video]
Apr 2015 Computing with words [Poster]
Engineering Open House, Indian Institute of Technology (IIT) - Delhi

Academic Service and Leadership (new draft)
Core / lead organizing committee
Session chair
  • 2026AI Agents sessionACL 2026
  • 2023LLM Applications; Graph Theory & Network Analysis sessionsACM ICAIF 2023
Program committee & reviewer: conferences
Program committee & reviewer: workshops
Journals
Teaching & mentoring
Volunteering & leadership

Academic Service and Leadership
Program Committee:
Medical Imaging meets NeurIPS (MED-NeurIPS), NeurIPS [2021]
Machine Learning for Health (ML4H), NeurIPS [2020] [2021]
Fair ML for Health, NeurIPS [2019]

Reviewer:
Medical Imaging meets NeurIPS (Med-NeurIPS), NeurIPS [2019] [2021]
Machine Learning for Health (ML4H), NeurIPS [2019] [2020] [2021]
Machine Learning in Public Health, NeurIPS [2021]
Machine Learning and the Physical Sciences, NeurIPS [2020]
Fair ML for Health, NeurIPS [2019]
Women in Machine Learning (WiML), NeurIPS [2018]
Illinois Geometry Lab Graduate Mentor:
Illinois Geometry Lab, Department of Mathematics, UIUC, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019
University of Illinois at Urbana Champaign Graduate Teaching Assistant:
CS547/IE534 Deep Learning, UIUC, Fall 2019
IE361 Production Planning and Control, UIUC, Spring 2019
IE 300 Analysis of Data, UIUC, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018
IIT-Delhi Leadership:
Open House Coordinator, IIT-Delhi, Mar-Apr 2016
Event Management Volunteer, Rubic's Cube Indian Nationals, IIT Delhi, Feb-Mar 2016
Publicity Volunteer, Spic Macay, IIT Delhi, Jan-Mar 2016
Event Management Volunteer, Tryst, IIT Delhi, Jan-Mar 2015

Collaborations and Mentorship (new draft)
Research interns mentored at J.P. Morgan AI Research
  • Summer 2025Yiqiao Jin PhD CS, Georgia Tech
    Hierarchical agentic framework for multi-page slide deck understanding (SlideAgent)    ACL 2026 NeurIPS 2025 WS
  • Summer 2024Gaurav Verma PhD CS, Georgia Tech
    Adapting multimodal web agents with few-shot learning from human demonstrations (AdaptAgent)    ACL 2025 NeurIPS 2024 WS
Faculty collaborations
Students mentored at UIUC
  • 2022Mehar Singh BS CS, UIUC → Apple
    Wearable sensors, self-supervised pretraining and transfer learning for Parkinson's motor impairment    Sensors 2023
  • 2022Prithvi Prakash MS Data Science, UIUC → Bayer
    Wearable sensors for classifying motor impairment in Parkinson's disease    IEEE EMBC 2023
  • 2022Mengyue Huang BS Data Science, UIUC → MS, UPenn
    Wrist wearables and machine learning for Tai Chi expertise classification    Sensors 2024
  • 2021–22Joshua Levy BS CS, UIUC → Capital One
    Deep learning on multi-stride gait dynamics for neurological disorders    IEEE-TBME 2023
  • 2020Zizhang Chen BS Statistics, UIUC → PhD CS, Brandeis
    Machine learning on gait dynamics for multiple sclerosis prediction    IEEE-TBME 2021
  • 2019Vipul Satone MS Industrial Engineering, UIUC → Vanguard
    Predicting Alzheimer's disease progression and clinical subtypes    NeurIPS 2018 WS
  • 2018–19Rongyi Sun BS Molecular & Cellular Biology, UIUC → MD, NewYork-Presbyterian
    Machine learning and virtual reality to analyze neural responses to anxiety    Humanoids 2019 EMBC 2019 BIBM 2019
  • 2018–19Rachel Zilz BS Systems Eng., UIUC → Boeing and Kevin Thompson BS CS, UIUC → State Farm
    ML and price-based load scheduling for IoT control in smart homes    Energy & AI 2021
  • 2018Sanjana Menon MS Industrial Engineering, UIUC → Western Digital
    Feature engineering in gait patterns    IEEE EMBC 2019
Mentoring programs & leadership

Collaborations and Mentorship

At UIUC, I have had a chance to work with and mentor some excellent students:
• Daan Michiels (Currently Senior Quantitative Researcher at G-Research)
• Vivek Kaushik (Currently PhD candidate at the Department of Mathematics, UIUC)
• Yankun Zhao (Currently MS in Computer Science candidate at Yale University)
• Zhonghao (Dennis) Zhao (Currently MS in Analytics candidate at Northwestern University)
• Maxim Korolkov
• Zizhang Chen


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