Naftali Cohen
Senior Quant | Adjunct Professor
LinkedIn | Google Scholar
Short Bio
I am a Senior Quant working in the hedge fund industry, specializing in leveraging data for systematic, market-neutral equity trading on a mid-frequency scale. In addition, I am an Adjunct Professor in the Industrial Engineering and Operations Research Department at Columbia University, where I teach graduate-level topics at the intersection of data science and quantitative finance.
I previously held research and leadership positions at JP Morgan Chase, Yale University, and Columbia University. I earned a Ph.D. in Applied Mathematics from the Courant Institute of Mathematical Sciences at New York University.
Teaching
My teaching philosophy emphasizes integrating theoretical insights with practical applications. I promote a data-driven approach to quantitative decision-making in uncertain environments.
- Columbia University, Industrial Engineering and Operations Research:
- Fall 2022, Spring 2023, Fall 2023, Fall 2024: Data-Driven Methods in Finance
- New York University, Tandon School of Engineering:
- Spring 2021, Fall 2021, Spring 2022: Operations Research
- New York University, Courant Institute of Mathematical Sciences:
- Spring 2012, Fall 2012, Spring 2013, Fall 2013: Mathematical Methods, Analysis I, Analysis II, Ordinary Differential Equations
Recently Organized Academic Meetings
These academic meetings and workshops showcase emerging trends in AI, machine learning, and quantitative finance:
- ICAIF-2023 and ICAIF-2024: Competitions and Datasets
- ICAIF-2023: Will AI Make or Break the Next Generation Financial Systems?
- NeurIPS-2022: Workshop on Graph Learning for Industrial Applications
- ICAIF-2022: Graph Learning and Knowledge Graphs in Finance
- AAAI-2022: Workshop on AI in Financial Services: Adaptiveness, Resilience & Governance
- ICAIF-2021: Time-Series in Finance
Selected Work Experience
- Schonfeld Strategic Advisors, QIS: Senior Data Scientist (2022–)
- Columbia University, IEOR: Adjunct Professor (2022–)
- JP Morgan Chase, AI Research: Vice President and Research Lead (2018–2022)
- New York University, Tandon School of Engineering: Adjunct Professor (2020–)
- Columbia University, Lamont-Doherty Earth Observatory: Research Scientist (2016–2017)
- Yale University, Earth and Planetary Sciences: Research Scientist (2014–2015)
Press Coverage
- The unusual AI competition getting students internships at top HFT firms
- The new benefit for finance quants: working outside of finance
- JPMorgan’s AI research group is hiring. This is who they recruit
- JPMorgan now has 50 people working in its rarefied AI labs
- Patterns in Monsoons: Climate Change or Human Error?
Honors and Awards
- 2024: Honored Listee, Marquis Who’s Who
- 2022: Prolific Inventor Lifetime Award, JP Morgan
- 2016: Gravity Wave Symposium Award, SPARC
- 2016: Young Scientist Award, SPARC-SHARP
- 2014: Fellowship, IPAM-UCLA
- 2009–2013: GSAS MacCracken Fellowship, New York University
Education
- Ph.D. in Applied Mathematics
Courant Institute of Mathematical Sciences, New York University (2009-2013)
- M.Sc. in Atmospheric Sciences
Institute of Earth Sciences, Hebrew University of Jerusalem (2007-2008)
- B.Sc. in Atmospheric Sciences and Chemistry
Institute of Earth Sciences, Hebrew University of Jerusalem (2004-2006)
Contact
Email: [email protected]
Disclaimer
The statements on this webpage are my own and do not necessarily reflect the views of the entities I am affiliated with. No investment advice or specific course of action is being recommended.