Faculty

Mickey Atwal
Mickey Atwal - Professor

Mickey Atwal is an associate professor at Cold Spring Harbor Laboratory where he undertakes machine learning research and builds tools to analyze vast datasets in cancer genomics and immunology. He was awarded the Winship Herr Award for Excellence in Teaching a record three times, developing courses at the interface of machine learning, molecular biology, and neuroscience. He has trained in theoretical physics from the University of Cambridge, Cornell University, and Princeton University.

Matthew Dixon
Matthew Dixon - Professor

Matthew Dixon is a British Applied Mathematician, Assistant Professor of Applied Math at Illinois Tech. He has taught machine learning, computational finance, Bayesian econometrics and financial econometrics, and held visiting research appointments in CS/Math at Stanford University and UC Davis. 

Matthew is the co-founder of the Thalesians, a quant educational company which is a member of Level39, Europe’s biggest financial technology Incubator. Prior to joining academia, he has held industry appointments as a quant at banks such as Lehman Brothers, the Bank for International Settlements and Barclays Capital. From 2010- 2015, He holds a MSc in Parallel and Scientific Computation (with distinction) from the University of Reading, and a PhD in Applied Math from Imperial College London.

Marcos Lopez de Prado
Marcos Lopez de Prado - Professor

Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and professor of practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. He launched TPT after he sold some of his patents to AQR Capital Management, where he was a principal and AQR’s first head of machine learning. Marcos also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3

William J. Kelly
William J. Kelly - Keynote Speaker

William (Bill) J. Kelly is the CEO of the CAIA Association. Bill has been a frequent industry speaker, writer, and commentator on alternative investment topics around the world since taking the leadership role at the CAIA Association in January, 2014.

Previously, Bill was the CEO of Boston Partners and one of seven founding partners of the predecessor firm, Boston Partners Asset Management which, prior to a majority interest being sold to Robeco Group in Rotterdam in 2002, was an employee-owned firm. Bill’s career in the institutional asset management space spans over 30 years where he gained extensive managerial experience through successive CFO, COO and CEO roles.

In addition to his current role, Bill is a tireless advocate for shareholder protection and investor education and is currently the Chairman and lead independent director for the Boston Partners Trust Company. He has previously served as an independent director and audit committee chair for ’40 Act Mutual Funds and other financial services firms. He is also currently an Advisory Board Member of the Certified Investment Fund Director Institute which strives to bring the highest levels of professionalism and governance to independent fund directors around the world. A member of the board of the CAIA Association, Bill also represents CAIA in similar capacities via their global partnerships with other associations and global regulators.

Bill began his career as an accountant with PwC and is a designated Audit Committee Financial Expert in accordance with SEC rules.

Sonam Srivastava
Sonam Srivastava

Sonam Srivastava is a quantitative researcher with 10+ years of experience in quantitative trading & research. She is the founder and CEO at Mumbai based Wright Research, which is a data driven investment management & advisory firm.

She has worked at HSBC as a quant building factor driven portfolio solutions enabling large scale trading at the central risk book & structuring desks. She has worked as an algorithm designer at Edelweiss institutional equity execution & arbitrage desks and at Qplum, in a portfolio management role for artificial intelligence driven robo-advisor in the US and India.

She graduated studying computational chemical engineering from IIT Kanpur and has a master’s in financial engineering from Worldquant University.

Dr. rer. nat. Daniel T. Schmitt
Dr. rer. nat. Daniel T. Schmitt

Dr. rer. nat. Daniel T. Schmitt is theoretical physicist by training with a passion of learning from data. He has more than 12 years of experience building and running quantitative investment strategies at Credit Suisse and SIMAG (ETH-spinoff). Currently, Head of Systematic Strategies at SG Value Partners AG where he and his team develop and run investment strategies using various machine learning techniques.

Stefan Jansen
Stefan Jansen

Stefan is the founder and Lead Data Scientist at Applied AI. He advises Fortune 500 companies, investment firms and startups across industries on data & AI strategy, building data science teams, and developing machine learning solutions. Before his current venture, he was a partner and managing director at an international investment firm where he built the predictive analytics and investment research practice. He also was a senior executive at a global fintech company with operations in 15 markets.

Earlier, he advised Central Banks in emerging markets, consulted for the World Bank, and has worked in six languages across Asia, Africa, and Latin America. Stefan holds Master degrees in Computer Science from Georgia Tech and in Economics from Harvard and Free University Berlin and is a CFA Charterholder. He has also been teaching data science at Datacamp and General Assembly.

Miquel Noguer i Alonso
Miquel Noguer i Alonso - Co-Founder & Chief Executive Officer

Miquel Noguer is a financial markets practitioner with more than 20 years of experience in asset management, he is currently Head of Development at Global AI ( Big Data Artificial Intelligence in Finance company ) and Head on Innovation and Technology at IEF.

He worked for UBS AG (Switzerland) as Executive Director.for the last 10 years. He worked as a Chief Investment Office and CIO for Andbank from 2000 to 2006.

He is professor of Big Data in Finance at ESADE and Adjunct Professor at Columbia University teaching Asset Allocation, Big Data in Finance and Fintech. He received an MBA and a Degree in business administration and economics in ESADE in 1993. In 2010 he earned a PhD in quantitative finance with a Summa Cum Laude distinction (UNED – Madrid Spain).

Scientific advisors

Gordon Ritter
Gordon Ritter - Scientific Advisor

Gordon Ritter completed his PhD in mathematical physics at Harvard University in 2007, where his published work ranged across the fields of quantum field theory, differential geometry, quantum computation and abstract algebra. Prior to Harvard he earned his Bachelor's  degree with honours in Mathematics from the University of Chicago, where he was selected to take Honors Analysis and mostly graduate-level math and physics courses while still an undergraduate. Dr. Ritter is currently Adjunct Professor at Columbia, NYU, and the Baruch MFE program, where his research interests are focused on portfolio optimization and statistical machine learning, and his publications can be found in journals including Risk and the Journal of Portfolio Management. He is in the top 10% of authors on SSRN, and was named Buy-Side Quant of the Year in 2019, by Risk. In parallel with his teaching responsibilities, Dr. Ritter works full time in the industry. In 2019 he founded Ritter Alpha LP, a registered investment adviser which runs proprietary systematic absolute-return trading strategies across multiple asset classes and geographies, based on application of the scientific method to investment problems. Prior to founding Ritter Alpha, he built a successful trading system from scratch at GSA Capital, a firm which won the Equity Market Neutral & Quantitative Strategies category at the Eurohedge awards four times. Prior to GSA, Dr. Ritter was a Vice President of Highbridge Capital and a core member of the firm's statistical arbitrage group, a team of less than 20 people which was responsible for billions in profit and trillions of dollars of trades across equities, futures and options with low correlation to traditional asset classes.

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