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2nd Annual Quant/Financial Engineering Virtual Conference 
Friday, September 15, 2020

The 2nd annual Quant / Financial Engineering Conference is presented by the Lehigh University Center for Financial Services and is a live, virtual event. 

Topics include: Central bank digital currencies, data forensics, synthetic data and stress testing, innovation in financial services, and quantum computing.


Conference Agenda

1:00 – 1:45 pm   Decentralized Finance and Central Bank Digital Currencies. Moderators: Dr. Hank Korth, Dr. Rod Garatt, Corey Caplan

1:45 – 2:15 pm   API for Financial Institutions. Moderators: Cate Rung and Brendan Playford

2:15 – 2:30 pm   Networking Break 1

2:30 – 3:00 pm   Data Forensics. Moderator: Nicholas Gans 

3:00 – 3:30 pm   Quantum Computing. Moderators: Dr. Tamás Terlaky and Dr. Luis Zuluaga 

3:30 - 3:45 pm   Networking Break 2

4:00 – 4:30 pm   Stationarity.  Moderator: Dimitri Bianco

4:30 – 5:00 pm   Synthetic Data and Stress Testing. Moderator: Sri Krishnamurthy

5:00 – 5:15 pm   Ethereum/Smart Contracts project presentation. Presenters: Stephen Choi, Matsela Matsela, and Bryan Yekelchik

5:15 - 5:30 pm   Multi Factor Modeling presentation. Presenters: Randy Parker, Jordan Weintraub, and Bryan Yekelchik      

Impact for Summer Institute Expo

Data for Impact Summer Institute 2020
The Data for Impact Summer Institute, is one of Lehigh's Creative Inquiry initiatives and planned in collaboration with the Martindale Center and I-DISC. This is an eight week program that will run from June 15th - August 7th. 

Data for Impact Summer Expo > 
Learn more about the program & projects: Data for Impact Summer Institute Webpage >

Quant/Financial Engineering Conference

Quant/Financial Engineering Conference 
Held: Friday, November 15, 2019
Iacocca Hall, Lehigh University

Experts in financial engineering and quantitative finance converged at Lehigh on November 15 for a Quant/Financial Engineering Conference that addressed the challenges in today’s data-centric business environment. The conference aimed to promote the exchange of ideas in data management, data science, blockchain, deep learning and other areas. 

Agenda >

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