Verizon Center at Cornell Tech (2 West Loop Road is the same address for the Bloomberg Center) Roosevelt Island, NYC
SEPTEMBER 16TH 2022
08.30 – Registration
09.00 – Opening Address from the Chairs: Director, Cornell Financial Engineering Manhattan, Professor Victoria Averbukh & Conference Host Rebellion Research CEO, Alexander Fleiss
09.05 – PANEL DISCUSSION: The Investment Process
Moderator: David Nelson Chief Strategist & Economist, Belpointe Asset Management & Fmr Financial News Anchor, NewsMax
Perry Boyle, Fmr Senior Partner, Point72, Joseph Simonian, Editor of Journal of Portfolio Management, Editor, Journal of Financial Data Science, CIO Autonomous Investments, Edward Manheimer, Morgan Stanley, Head of Power & Utility M&A, Mika Kastenholz Global Head Structured Macro Credit Suisse
09.35 – PANEL DISCUSSION: Risk Management, Machine Learning & Optimal Control
Moderator: Giuseppe Paleologo, Head Of Risk Management at Hudson River Trading
Amal Moussa, Managing Director, Head of US Single Stocks Exotic Derivatives Trading at Goldman Sachs, Adjunct Professor, Mathematics of Finance Masters Program at Columbia University, Raphael Douady, Research Professor, Sorbonne, Vasily Strela, Global Head of FICC Quantitative Strategies at RBC Capital Markets, Professor Andreea Minca, Cornell University
10.05 – PANEL DISCUSSION: Future of Machine Learning
Moderator: Bill Janeway, Fmr Vice Chair, Warburg Pincus
Dr. Ruchir Puri, Chief Scientist, IBM Research, Peng Cheng, Head of Machine Learning Strategies, JPMorgan, Yu Yu, Director of Data Science at BlackRock, Dr. Paul Burchard, Head Of R&D Goldman Sachs
10.35 – Break
11.00 – PANEL DISCUSSION: The Quantitative Role In Venture Capital
Moderator: Dr. Linda Kreitzman, MFE Co-Founder, Berkeley SkyDeck Blockchain/Crypto Chair, Lecturer, University of California at Berkeley & Partner, 0xPartners
Jenny Friedman, Managing Partner, Four Acres, Jonathan Yarmeisch, CFO, NYFTA Everett Cook, CEO, RHO, Andrea Himmel, CIO Himmel + Meringoff, Matei Zatreanu, Founder System2
11.30 – PANEL DISCUSSION: Changing Landscape of Quantitative Investing
Moderator: Andrew Chin, Head of Quantitative Research and Chief Data Scientist, Alliance Bernstein, Adjunct Professor, Cornell Financial Engineering Manhattan
Arik Ben Dor, Barclays, Head of Quantitative Equity Research, Jae Ho Kim, Head of Risk Research at Point72, Judith Gu, Head Equities Quantitative Strategist, Scotiabank
12.00 – PANEL DISCUSSION: Future of Blockchain & Crypto
Moderator: Joe Marenda, Partner Cambridge Associates & Head of Digital Asset Investing
Professor of Finance Jim Liew, Johns Hopkins University, Dan Liebau, Modular Blockchain Fund CIO & Adjunct Faculty, SMU, Singapore Management University, Osho Jha Co-Founder & Chief Data Scientist Arbol
12.30 – PANEL DISCUSSION: Understanding Data in the 21st Century
Moderator: Sasha Stoikov, Head of Research, Cornell Financial Engineering Manhattan
Brad Schneider, CEO, Nomad Data, Patrick Mullane, Executive Director, Harvard Business School Online, Dr. Ihsan Saracgil, Senior Principal Data Scientist, Visible Alpha, Siddhartha Jha, Founding Partner, Arbol
13.00 – Lunch & Keynote Address: US Navy Admiral Scott Sanders: The Global Risk of Tomorrow
13.45 – PANEL DISCUSSION: Capturing Alpha in 2022 Quantitative Strategies & Global Outlook
Moderator: Bartt Kellermann, Founder, Battle of the Quants
Aakarsh Ramchandani, Chief Strategy Officer, RavenPack, Dr Miquel Noguer i Alonso, Founder of Artificial Intelligence Finance Institute, Visiting Scholar, NYU Courant Institute of Mathematical Sciences, Javed Ashraf, Co-Lead Portfolio Manager, Blackbox Alpha Management, Don D’Amico Managing Director Neudata, Qaisar Hasan, CEO, Maiden Century, Joaquín Kritz Lara, Chief Economist Numera Analytics
14.15 – PANEL DISCUSSION: Deep Learning vs Reinforcement Learning vs Causality in Finance
Moderator: Dr. Michael Recce, Founder Alpha ROC, Fmr Head of Data Science Point72, Neuberger Berman & GIC
Illinois Institute of Technology Professor Matthew Dixon, Quant of The Year 2022, Finance Professor Sudip Gupta, Johns Hopkins University, Gordon Ritter, Quant of the Year 2019, Adjunct Professor, Cornell Financial Engineering Manhattan, Adjunct Professor, Baruch College, NYU Courant Institute, Richard Craib, Founder & CEO Numerai, Dr. Igor Halperin, Quant of the Year 2022
14.45 – PANEL DISCUSSION: Future of Due Diligence, ESG & Ethics in Data
Moderator: Abhi Kane, Managing Director, Angel Oak Capital Advisors, LLC, Fmr Head of Investment Research, Skybridge Capital
Matt Langione, Partner, BCG, Sharon Asaf, Director of Global Climate Risk, Citibank, Professor Jennifer Miller, Yale School of Medicine, Dr. Triveni Gandhi, Responsible AI Lead Dataiku, Aziz Lookman, Data Scientist, Two Sigma
15.15 – PANEL DISCUSSION: Risk and Reward Opportunities Ahead
Moderator: Kevin Mahn, President & CIO of Hennion & Walsh Asset Management
Dean & Vice Chair Sam Chandan, NYU Stern School of Business, Professor Gilles Duranton, Economist & Dean’s Chair, Wharton School of Business, Brett Hickey, CEO of Star Mountain Capital, Neal Berger, Founder & CIO Eagle’s View Capital Management
15.45 – PANEL DISCUSSION: Crypto & Blockchain
Moderator: Sameer Gupta, Point72, New York Mets, Head of Data
Joshua Frank, CEO, The Tie, Shawn Douglass, CEO, AmberData, Kristin Boggiano, Co-Founder & President of CrossTower, Marshall Beard, Chief Strategy Officer, Gemini
16.15 – PANEL DISCUSSION: Advances in Algorithmic Trading and Execution
Moderator: Swagato Acharjee, Director, Algorithmic Trading at Citi
Michael Sotiropoulos, Visiting Professor, Princeton University, Managing Director at Imperative Execution Inc, Nicholas Westray, Head of Execution Research, Alliance Bernstein, Researcher – Financial Machine Learning, NYU Courant Institute of Mathematical Sciences, Saurabh Srivastava, Fmr SM&D Head of US Equities Electronic Trading, Barclays Investment Bank
16.45 – PANEL DISCUSSION: Limitations of Machine Learning & Data
Moderator: Amit Gandhi, Professor, Wharton Business School, Technical Fellow, Airbnb
Yu Yu, Director of Data Science at BlackRock, Kai Cui, Head Of Data Science Neuberger Berman Ben Steiner, Lecturer, Columbia University, GM for Asset Management, CausaLens, Fmr Head of Model Development, CIT, Jacob Jordan, Head of Alternative Research, Surveyor Capital, Aziz Lookman, Data Scientist, Two Sigma
17.15 – PANEL DISCUSSION: Future of Machine Learning & Data
Moderator: Tim Harrington, Founder BattleFin
Dr. Ioana Boier, Senior Principal Solutions Architect, NVIDIA, Cristian Homescu, Investment & Portfolio Analytics, Chief Investment Office, Bank of America, Venk Kidambi, Founder Gyon Technologies Former Director Of Trading Research At Point72 Asset Management, Mike Lock, Executive Director, AQR Capital Management
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Cornell Financial Engineering Manhattan & Rebellion Research 2022 Future of Finance Conference
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Crypto has the capacity to force a redesign of the Internet, our financial system, and money in a way that fosters and protects the rights and dignity of the individual. If we are successful, we could make as great of a contribution to personal freedom as the invention of the printing press, the personal computer, and the early, open Internet.
Crypto is not just a technology, it’s a movement. But it won’t happen unless we build simple, elegant, and secure ways for individuals and institutions around the world to discover and interact with this new frontier.
We founded Gemini with a “security-first” mentality and ethos of asking for permission, not forgiveness. We have worked hard to provide you with a high-integrity choice and we look forward to earning and maintaining your trust.
Gemini is a New York trust company regulated by the New York State Department of Financial Services (NYSDFS). We are subject to capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the NYSDFS and the New York Banking Law. Gemini is also a fiduciary and Qualified Custodian.
Interactive Brokers has over $113 Billion of assets, a market capitalization of $28 Billion and supports millions of clients around the world. Interactive Brokers Group, Inc. operates as an automated electronic broker worldwide. The company specializes in executing, clearing, and settling trades in stocks, options, futures, foreign exchange instruments, bonds, mutual funds, exchange traded funds (ETFs), metals, and cryptocurrencies. Moreover, it also custodies and services accounts for hedge and mutual funds, ETFs, registered investment advisors, proprietary trading groups, introducing brokers, and individual investors. In addition, it offers custody, prime brokerage, securities, and margin lending services. The company serves institutional and individual customers through approximately 150 electronic exchanges and market centers. Interactive Brokers Group, Inc. was founded in 1977 and is headquartered in Greenwich, Connecticut.
Visible Alpha enhances the buy-side investment research process by extracting meaningful value from key sell-side assets. We are dedicated to creating the deepest consensus in the market, with more and higher quality sources, and longer-term forecast horizons.
At Visible Alpha, we’re focused on creating and delivering solutions for the investment research process of today and tomorrow. We keep a pulse on where the market is headed and how changes in the market and in technology may impact and improve the workflows of market participants. In close collaboration with our sell-side advisors and buy-side clients, we strive to solve inefficiencies and cultivate positive and collaborative relationships across the Street through our award-winning technology solutions and services.
Nomad Data connects data buyers with the data they need to be smarter when it matters
Find Better Data. Faster.
Through machine learning and AI, we match data requests to the most relevant data providers. Here’s how it works:
- Buyers tell our platform what they’re looking for
- Our system matches the request to a select handful of data providers from an ever-growing internal database
- Providers evaluate and respond to the buyers’ needs
- Buyers review responses and select providers
- Parties connect and proceed straight to trial/purchase
Beyond connecting your use cases to relevant external data, we data enable your entire organization by placing the power of external & internal data into the hands of every business user. Our knowledge management tools give your organization the power to:
- Allow any user to submit requests for data to a central team, who then determine if they should be released into the Nomad Data network or sent back with context on an existing solution.
- Monitor progress of data evaluations and subscriptions across teams, making every past interaction with internal & external data searchable, ensuring retention of institutional knowledge over time.
- Centralize and automate execution of forms and contracts required to engage with data vendors.
Arbol Description: Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss.
Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage in stark contrast to the oligopoly of reinsurers that currently dominate the climate risk insurance space.
Rho is an automated, integrated platform designed to give organizations everything they need to run their finance operations.
Our mission is to make finance frictionless for organizations. We started the company after seeing how difficult it was for operationally strong businesses to find connected banking and spend management services that supported their growth.
To help our customers accomplish frictionless finance, we designed the Rho platform to combine all the tools needed for finance leaders to gain control of all spend, maximize return on cash, and end finance system overload.
We believe corporate finance processes — spend management, treasury, commercial banking, accounts payable, and more — work better when they are connected holistically with one login, with Rho.
RavenPack designs big data analytics services that conducts financial analysis. Its big data analytics services facilitate in conversion of unstructured content into structured data helping in easier analysis and deployment in financial applications enabling clients to enhance returns, reduce risk or increase efficiency by systematically incorporating the effects of public information in their models or workflows.
Numera Analytics is a global provider of macroeconomic and sectoral research. Our team of accomplished economists and industry specialists produce comprehensive analysis and rigorous market studies to guide investment decisions, commercial strategy and risk management. Our expertise lies in combining state-of-the-art quantitative techniques with in-depth industry knowledge to analyze the transmission of economy-wide developments on market dynamics. Unlike other research providers, we do not just focus on ‘the most likely’ scenario, but acknowledge the inherent uncertainty – and numerous risks – surrounding future outcomes. We cater to a varied clientele of multinational corporations, global investors, financial institutions and government agencies.
causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.
We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
Our Mission: To radically advance human decision-making.
How we further our mission: We empower our partners to create Causal AI-powered decision apps.
Our Vision: To create a world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results.
Dataiku is an artificial intelligence and machine learning company which was founded in 2013. In December 2019, Dataiku announced that CapitalG—the late-stage growth venture capital fund financed by Alphabet Inc.—joined Dataiku as an investor and that it had achieved unicorn status. As of 2021, Dataiku is valued at $4.6 billion. Dataiku currently employs more than 1,000 people worldwide between offices in New York, Paris, London, Munich, Sydney, Singapore, and Dubai.
Maiden Century is a provider of data as a service (DaaS) solutions. It offers QTIP (Quantitative Tools for Investment Professionals), raw data transformation, IDEA (Integrated Dashboard for Everything Analyzeable), data ETL (extraction, transformation and loading), normalization, backtesting, and visualization.
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.
SigTech offers quant technologies for global investors and data owners. Cloud-hosted and Python-based, SigTech accelerates the data-driven investment process, from research to live trading. SigTech accelerates your data-driven investment process. Build systematic strategies with cleaned, validated data and a robust backtesting
peekd is a leading intelligence platform for consumer brands and retailers. Customers use the platform to benchmark their online performance and boost their results. peekd is one of the world’s largest independent monitors of digital marketing and online sales. The platform … Read more. Mission: We help businesses make better data driven decision using big data.
Facteus has the largest transaction data panel (40+ million active cards) in the Alternative Data industry, with the most diversified set of payment methods (Credit, Debit, Alternative Debit, Health, and Payroll). The most balanced panel available by age, income, and geographic coverage with unique insights into spending of Millennial, Gen Z, and underbanked market segments
dClimate Description: dClimate is a chain-agnostic decentralized climate information ecosystem. dClimate makes it easy for businesses and builders to find, access, and utilize essential information about our planet to better understand how weather and climate impacts our communities and build data-driven technology solutions for helping communities achieve climate resilience in the 21st century. The dClimate network solves key issues around access, availability, and accountability in the climate data ecosystem with the world’s first decentralized, open marketplace for participants to get and share climate data.
The network then enables an open ecosystem of climate resilience applications like parametric insurance, advanced analytics and models, and tooling to be built on top of the data layer. dClimate is pioneering data infrastructure solutions for scaling global carbon markets, incentivizing regenerative agriculture practices, and bringing increased efficiency to industries affected by climate risk.
System2 is a deep bench of experienced data scientists, data engineers, analysts, and technologists. We are builders, storytellers, and problem solvers. Data is our medium.
In 2016 Matei Zatreanu founded System2 on the belief that fundamental investing will be augmented by data-driven technology. Today our team represents a growing culmination of experience, a focus on how the data applies to the problem and solutions, and a constant quest for results.
Coin Metrics aims to usher the world’s premier financial institutions into crypto with the most trusted data and insights. We organize the world’s crypto data and make it transparent and accessible.
Coin Metrics is uniquely positioned to assist institutional clients throughout their journey in crypto. From research to high frequency trading and investment management to launching crypto custody and exchange services. Moreover, Coin Metrics clients leverage deep on-chain data, sourced via our own redundant node infrastructure, and market data from our institutional quality collection and storage systems. We have many clients using our real-time market and on-chain data for quantitative and machine learning based trading, as well as portfolio management.
Coin Metrics exceeds requirements for security and compliance auditing. We have SOC 2 accreditation by a Big 4 auditor and provide institutional quality data via our technology implementation with redundant nodes, collection and storage systems.
Numerai is a market neutral quant hedge fund built on thousands of crowdsourced machine learning models.
Numerai, founded in 2015, runs a weekly data science tournament at https://numer.ai.
Data scientists from around the world with varying backgrounds can download our clean, obfuscated data for free, build a model and submit to predict the stock market. Because it’s obfuscated data, you don’t have to know anything about finance to participate.
The best predictions are incorporated into a meta model which we use to create the portfolio that informs the trades of our global equity hedge fund.
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.
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