MIT Quant & Ai Conference 2022

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A STUDENT-LED EVENT

Online Conference Lecture : Blackrock’s Head of Machine Learning Research On Similarity Learning : Dr. Dhagash Mehta

December 15th

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December 15th 2022 : Buy Tickets

07.00 – Registration & Networking

07.45 – Opening Address from the Chairs: Director, MIT Sloan Quant Finance Club, Samson Qian & Conference Host Rebellion Research CEO, Alexander Fleiss

07.50 – Opening Address: Ai & Data Science In Context, Dr. Alfred Spector, Computer Scientist, MIT Visiting Scholar & fmr CTO Two Sigma

08.00 – PANEL DISCUSSION: Alternative Data Trends For Ai

Moderator: Sondra Campanelli, Head of News & Marketing, Neudata

Merve Unuvar, Director of AI Platforms and Automation at IBM Research AI, Joseph Simonian, Senior Investment Strategist, Scientific Beta, Editor of Journal of Portfolio Management, Editor, Journal of Financial Data Science, Peng Cheng, Head of Machine Learning Strategies, JPMorgan

08.25 – PANEL DISCUSSION: Ai, Data & Investing

Moderator: Sahana Athreya, Forbes 30 Under 30, Data Scientist/QR – Investment Research, Millennium

Lisa Huang, Head of AI Investment Management and Planning, Fidelity, Dr. Ernest Chan, Founder PredictNow.ai & Chairman QTS Capital, Tony Berkman, Managing Director, Two Sigma, Saeed Amen Co-Founder Turnleaf Analytics & The Thalesians

9.00 – BREAK & Networking

9.15 – PANEL DISCUSSIONAugmenting Quantitative Strategies with Fundamental Data

Moderator: Gilbert Haddad, Head of Investment Decision Science at Fidelity Investments

Swagato AcharjeeDirector, Algorithmic Trading at Citi, Arun Verma, Head of Quantitative Research Solutions at Bloomberg, Zachary Mees, Senior Director, Portfolio Manager, Carnegie Corporation of New York, Qaisar Hasan, CEO Maiden Century, Danny Newman, Systematic Investor, Bridgewater Associates, David Murdock, Vice President of Data, Visible Alpha,

9.50 – PANEL DISCUSSION: Changing Landscape of Algorithms, Data & Quantitative Engineering 

Moderator: Kathryn Zhao, Global Head of Electronic Trading, Cantor Fitzgerald

2022 Quant of the Year Dr. Matthew Dixon, Riti Samanta, Systematic Multi Sector Fixed Income Portfolio Manager & Lead Strategist, GMO, Arik Ben Dor, Head Of Quantitative Equity Research, Barclays, Yin Luo, Vice Chairman, Wolfe Research

10.25 – PANEL DISCUSSION: Future of Alternative Investments & Artificial Intelligence

Moderator: William J. Kelly, President and CEO at CAIA Association

Mike Chen, Head of Alternative Alpha Research at Robeco, Dr. Roberto Croce, Head of Liquid Alternatives, Senior Portfolio Manager, Newton Investment Management Group, Lisa Huang, Head of AI Investment Management and Planning, Fidelity, Kathryn Kaminski, Chief Research Strategist & Portfolio Manager, AlphaSimplex Group & MIT Sloan Senior Lecturer

11.00Keynote Debate: What is the Future of Data Science in Finance?

Tony Berkman, Managing Director, Two Sigma Vs. Carson Boneck, Chief Data Officer, Balyasny Asset Management L.P.

11:30PANEL DISCUSSION: FTX Disaster (LUNCH Begins)

Crypto Hedge Fund Manager & MF Global Lead Plaintiff James Koutoulas & Ranjan Bhaduri, Institutional Investment Due Diligence Expert & CEO of Bodhi Research Group Moderated by: Professor of Finance Jim Liew, Professor, Johns Hopkins University

12.00  – Keynote Debate: Frontiers of Quant Finance: Boldly going where no quant has gone before

2022 Quant of the Year Dr. Matthew Dixon Vs. 2022 Quant of the Year Dr. Igor Halperin

12.30 – PANEL DISCUSSION: Digital Asset / Crypto / Quantum Computing / Defi / Web3 / Blockchain / Smart Contracts

Moderator: Professor of Finance Jim Liew, Professor, Johns Hopkins University

Matt Langione, Partner, BCG, Amit Gandhi, Professor, Wharton Business School, Technical Fellow, Airbnb, Kelly Ye, Head of Product, Fidelity Digital Asset Management, Joe Marenda, Partner Cambridge Associates & Head of Digital Asset Investing, Divya Narendra, Founder of SumZero, ConnectU (Major Motion Picture, THE SOCIAL NETWORK is based on Divya’s working with Mark Zuckerberg and Cameron & Tyler Winklevoss)

1.00 – KEYNOTE FIRESIDE CHAT: Rebooting Ai

Gary Marcus, Scientist, Professor, New York Times Bestselling Author & founded Geometric Intelligence, a machine learning company acquired by Uber in 2016

Interviewer: Dr. Ruchir Puri, Chief Scientist, IBM Research

1:40 – BREAK & Networking

1.50 – PANEL DISCUSSION: Understanding Data & Ai in the 21st Century

Moderator: Yevgeniy Vahlis, Co-Founder & CEO of Shakudo, Fmr Head Quant, Bank of Montreal

Joseph Simonian, Senior Investment Strategist, Scientific Beta, Editor of Journal of Portfolio Management, Editor, Journal of Financial Data Science, Sudip Gupta, Professor, Johns Hopkins University, Dr. Gregory Pelts, Director, Global Analytics & Financial Engineering, Scotiabank, Christina Qi, CEO Databento, Dr. Peter Cotton, Chief Data Scientist At Intech Investment Management LLC, Professor Gene Ekster, NYU Courant Applied Math

2.25 – Keynote Debate: Reinforcement Learning Vs. Deep Learning

Raphael Douady, Research Professor, Sorbonne Vs. Gordon Ritter, Quant of the Year 2019, Adjunct Professor, Cornell Financial Engineering Manhattan, Adjunct Professor, Baruch College, NYU Courant Institute, Columbia Mathematics of Finance, Booth UChicago

3:00 – BREAK & Networking

3.25 – PANEL DISCUSSION: The Data World of Tomorrow: Future Data, Twitter, Natural Language Processing, Retail Trading, Meme Stocks & Brokerage

Moderator: Larry Tabb, Head of Market Structure Research, Bloomberg Intelligence

Dr. Peter Cotton, Chief Data Scientist At Intech Investment Management LLC, George Mylnikov, Head of Quantitative Research at Windhaven Investments, Professor Dacheng Xiu, University of Chicago

4.05PANEL DISCUSSION: Limitations Of Ai as a Prediction Machine : How do we predict the Future of Rates & Economies?

Moderator: Mika Kastenholz Global Head Structured Macro Credit Suisse

Abhi Kane, Managing Director, Angel Oak Capital Advisors, LLC, Fmr Head of Investment Research, Skybridge Capital, Ben Steiner, Lecturer, Columbia University, GM for Asset Management, CausaLens, Fmr Head of Model Development, CIT, Dr. Sébastien Bossu, NYU Stern Professor & Fund Manager, Zach Squire, Hedge Fund Manager, Former Bridgewater & DE Shaw

4.30 – KEYNOTE FIRESIDE CHAT

Trading Legend Mark Fisher on Oil’s Future & the Future of Building Algo’s for Systematic Investing

4.45 – Concluding Keynote : Building Amazon Alexa, Jeff Adams, Inventor of Amazon Alexa

5.05 – Conference Concludes

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Online Learning Seminars

Challenges in Machine Learning : Dr. Bart Baesens KU Leuven Professor & Lecturer @ University of Southampton

Machine Learning At The Edge : Hemang Davé

Solvable Models, Symmetries & Magic: A New Family of Solvable Models by Dr. Gregory Pelts, Director @ ScotiaBank

Understanding Punks and Apes and other Non-Fungible Tokens: Professor Dr. Carol Alexander, University of Sussex Business School

(2) Understanding Punks and Apes and other Non-Fungible Tokens: Professor Carol Alexander

Crypto Today : Nikita Fadeev Partner & Portfolio Manager Fasanara Capital

Hedge Fund Manager Nikita Fadeev on The Crypto Market Post FTX Collapse

Dr. Bart Baesens Professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom)

Tips for 1st Time Technical Entrepreneurs : Professor Dr. Jim Liew of Johns Hopkins University

Understanding Quantum Computing : Matt Langione, Partner, Boston Consulting Group

Similarity Learning For Financial Domain : Dr. Dhagash Mehta, Head of Applied Machine Learning Research, Blackrock

Future of Cryptocurrency : Kelly Ye, Head of Product, Fidelity Digital Asset Management

Sponsors

CFA Institute (CNW Group/CFA Institute)
Shakudo provides best-of-breed data tools integrated into a fully-managed platform, empowering your data teams to become self-sufficient and accelerate your development to deployment cycles.

BMLL Technologies is the leading, independent provider of harmonised, Level 3 historical data and analytics to the world’s most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies and generate alpha at unparalleled speed and scale.

Neudata Limited provides dataset discovery services. The Company offers datasets, metadata and up-to-date objective research. Neudata serves investment managers and other clientele in North America and Europe. Fintech firm Neudata was founded in 2016 with a simple mission — to provide asset managers with unbiased intelligence on the alternative data sources that could help their investment processes. Since then, we have grown to a team of 50 alternative data scouts, software engineers and more.
CobaltAi

Ai & Quant Conference 2022 Hosted by MIT Sloan Quantitative Finance Club

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