[CS] [May 2nd, 12pm-1pm] Panel with J.P.Morgan's AI Research team

[Nakagawa, Takanori]

Dear Members of the CS Mailing List,

I am writing to inform you about an upcoming event that may be of interest
to those in the computer science field.
The Booth AI Group is excited to be hosting a panel discussion with J.P.
Morgan's AI Research on Tuesday, May 2nd, from 12pm-1pm.

The event promises to be an insightful session, and we would be delighted
if you could join us. Please find the details of the event in the link
below:

https://cglink.me/2cu/r1927059

Thank you for your time, and we hope to see you there!

Best regards,

Takanori Nakagawa
Booth AI Group Co-Chair

=====================

The Booth AI Group would like to invite you to a panel with J.P.Morgan's AI
Research team.

The group's mission is to pursue primary research in areas relative to our
research pillars as well as concrete problems related to financial
services. They partner with various internal teams to accelerate the
adoption of AI within the firm and also work with leading faculty around
the world on areas of mutual interest. Most recently, J.P. Morgan Chase
topped the first-of-its-kind ranking <http://evidentinsights.com/> showing
where the world’s leading banks stand in incorporating and advancing
artificial intelligence. The assessment of the 23 largest banks in North
America and Europe, made by the independent group Evident AI, is the first
to measure AI capabilities at banks based on public data.

Speakers*:
Tucker Balch, Ph.D., Managing Director, J.P. Morgan AI Research

Tucker Balch is a computer scientist, researcher, and educator specializing
in Al, Robotics, and Finance. He earned his Bachelor's degree and Ph.D. in
Computer Science from the Georgia Institute of Technology. Dr. Balch has
published over 120 peer-reviewed research papers in Robotics, Al,
multi-agent systems, and Finance.

He has held research and teaching positions at Carnegie Mellon University
and Georgia Institute of Technology, where he instructed Al, Robotics, and
Computational Finance courses.
In the financial industry, Dr. Balch co-founded Lucena Research, a
data-driven investment technology company utilizing Machine Learning, big
data, and quantitative analysis to offer actionable insights for investment
professionals. He currently serves as a managing director at J.P. Morgan Al
Research, leading teams exploring ML and Cryptography, multi-agent system
simulations, high-frequency electronic markets, and Synthetic Data for
Finance.

Dr. Balch is also an online education pioneer, developing and teaching
MOOCs like
"Computational Investing" and "Machine Learning for Trading," which have
reached over 170,000 students worldwide.
Before his research career, Balch served as an F-15 pilot in the U.S. Air
Force.

William Watson, Vice President, J.P. Morgan Al Research
Bill Watson is a computer scientist, Al research lead, and engineer,
specializing in AI, NLP (Natural Language Processing), multi-modal document
Al, computer vISIon, and process optimization.
Bill received his Bachelor of Science (B.S.) in Computer Science and Master
in Science in Engineering (M.S.E) in Computer Science, with a focus on
Applied Mathematics and Statistics, at The Johns Hopkins University. He has
numerous papers and patents published in top conferences worldwide
throughout his career at S&P Global and J.P.Morgan AI Research.

At J.P.Morgan Al Research, Bill leads efforts in generating code using
Large Language Models and building a search engine for regulatory filings
that ingest complex documents at state-of-the-art speed.
In his free time, Bill likes to bake desserts and travel around the world.

Nicole Cho, Vice President, J.P. Morgan Al Research
Nicole Cho is a product manager and Al research lead, specializing in
financial applications of Al, sales optimization, LP (Natural Language
Processing), and multi-modal document Al.

Nicole received her Bachelor of Arts (B.A.) in Econometrics and
Quantitative Economics at Dartmouth College. Her industry experience spans
across structuring collateralized loan obligations (CLOs), fixed-income and
securities services sales, and full-stack development of Al products from
vision to delivery.
At J.P.Morgan AI Research, Nicole leads efforts in building search engines
of regulatory filings that ingest complex documents at state-of-the-art
speed, biometric payment systems, and domain-specific LLMS.
In her free time, Nicole likes to walk around New York City, swim, and
travel.

*Speakers will be virtual
**Possible attendance from Manuela Veloso, Ph.D, Head of J.P. Morgan AI
Research
To ask questions ahead of time please use:
https://app.sli.do/event/uPLDjHfN6MeVQf3Birx3GC

Dress Casual (jeans ok)
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