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

[Nakagawa, Takanori]

Dear Members of the CS Mailing List,

We have received an unexpectedly high number of entries to
the coming J.P. Morgan AI Center panel, so we've added more spots.

There have been some questions about the venue.
This event will be held virtually, with all speakers participating
remotely. Anyone can join the event on Zoom.
(The Harper Center's C05 room will be available for Booth faculty and
students who need a space to attend the event.)

Apologies for any confusion.

Best regards,
Takanori Nakagawa


On Thu, Apr 27, 2023 at 11:12 AM Nakagawa, Takanori <
tnakagaw at chicagobooth.edu> wrote:

> 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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