Jordan Fisher

Jordan Fisher

Member of Technical Staff @ Anthropic

About

CEO at Standard AI. Mathematician, entrepreneur, product manager. I love bringing together research and engineering to deliver awesome products. We're hiring! Reach out if you're interested in tackling challenging data and infrastructure problems!

Country

United States

City

San Francisco

Industry

Computer Software

Skill

Numerical Analysis, Algorithms, Mathematical Modeling, Python, Statistics, Applied Mathematics, Scientific Computing, Product Development, Producing, Technical Leadership, Public Relations, C#, Game Development, LaTeX, Video Games, Machine Learning, C++, Programming, C, Teaching

Experience

Anthropic

Member of Technical Staff

Anthropic

LinkedIn
2024-10 - Present · 2 yrs
Standard AI

CEO

Standard AI

LinkedIn
2017-4 - 2024-3 · 7 yrs

San Francisco Bay Area

Our mission is to revolutionize the physical world the way software has revolutionized the world of information. We believe machine learning is the foundation to do it. First up, a radically better shopping experience.

U.S. Securities and Exchange Commission

Development Branch Chief

U.S. Securities and Exchange Commission

LinkedIn
2014-8 - 2017-4 · 2 yrs 9 mos

New York City

I managed infrastructure and product development within the Quantitative Analytics Unit. The QAU builds custom quantitative tools for use within the Commission, with an aim to bring sophisticated modeling and quantitative insight to bear on SEC data. I was also the product manager for the next generation version of NEAT, the SEC's internal quantitative analytics platform.

Pwnee Studios

President

Pwnee Studios

LinkedIn
2009-6 - 2015-5 · 6 yrs

New York City

President and lead engineer of Pwnee Studios. I lead the technical development of our Xbox, Playstation, WiiU and PC game development, as well as oversee our team members handling product development, business relations, and PR and marketing of our games.

New York University

Post-Doctoral Researcher

New York University

LinkedIn
2011-9 - 2012-9 · 1 yr 1 mo

New York City

Worked on extending the results of my prior research in highly efficient implicit methods for immersed boundary methods to an existing and well-used computational fluid dynamics code base.

Education

UC Santa Barbara

UC Santa Barbara

LinkedIn

Applied Mathematics

2006 - 2011 · 5 yrs

Developed new and novel numerical solvers for efficiently handling implicit discretizations of the immersed boundary method.

Jordan Fisher's Contact Information

Email

******@***.com

Phone

(**) *** ****

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