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CAII Spring Seminar Series: "Life after Grad School; From Silicon Valley to Wall Street" by Daniel George

Event Type
Seminar/Symposium
Sponsor
Center for Artificial Intelligence Innovation
Virtual
wifi event
Date
Mar 15, 2021   11:00 am - 12:00 pm  
Speaker
Daniel George, Vice President, Applied AI Lead at JPMorgan Chase
Views
22
Originating Calendar
Center for Artificial Intelligence Innovation

Daniel George, Vice President, Applied AI Lead at JPMorgan Chase will give a presentation during the CAII Seminar Series on Monday, March 15 at 11:00 a.m. The talk is titled Life after Grad School; From Silicon Valley to Wall Street."

View Seminar here: https://go.ncsa.illinois.edu/CAIISpringSemesterSeriesSP21  

Abstract:  I will talk about my experiences after finishing my PhD in Astronomy at UIUC, working on moonshots at Google X as an AI Research Scientist and on machine learning for finance at JP Morgan Chase as an Applied AI Lead. I will discuss opportunities and suggestions for students interested in data science/machine learning roles and also highlight differences between academia, tech industry, and finance. Following the talk, there will be an extended Q&A session where questions on any topic are welcome.

Speaker Bio: Daniel is a Vice President, Applied AI Lead at JPMorgan Chase specializing in time-series signal processing with deep learning. Previously, he was an AI Research Scientist at Google X. He completed his PhD in Astrophysics, with a fellowship in Computational Science and Engineering, at the University of Illinois at Urbana-Champaign and his Bachelor's degree in Engineering Physics with Honors from IIT Bombay. At NCSA, he pioneered the application of deep learning in gravitational wave signal processing for LIGO. He also worked on HPC at Los Alamos National Laboratory and on deep learning/NLP at Wolfram Research. He has won the ACM Student Research Competition, the LSST Data Science Fellowship, and the NVIDIA Fellowship. His long-term interests lie in applying cutting-edge computer science and technology, especially AI, to accelerate scientific discoveries.

All presentations will be recorded and will be available on the CAII website shortly after the presentation. 

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