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Brian Lee Yung Rowe

Founder, Chief Pez Head

Brian founded Pez.AI as a vehicle to pursue artificial intelligence and machine learning R&D. His first foray in AI was shortly after university, where he wrote a genetic algorithm to parse content and sentences from HTML pages. Afterward, he implemented his own self organizing map (aka Kohonen network). He founded his first company, Cenozoa, to commercialize the technology as a fuzzy search/recommendation engine. After winding down Cenozoa, Brian joined the world of finance, where he developed tools for quantitative research at Bridgewater Associates, Merrill Lynch, and GAMA. Brian has also designed models to price 22000 bonds in near real-time, credit, built an exchange for interest rate swaps, created models to classify clauses within contracts, forecast individual consumer spending. Brian has released numerous open source packages, including a library for optimizing portfolios using random matrix theory and shrinkage estimation. He is writing two books, Introduction to Reproducible Science in R and Modeling Data With Functional Programming In R, both to be published by Chapman & Hall/CRC Press. Brian was formerly an adjunct professor and taught mathematics, machine learning, and NLP at the CUNY MS Data Science program and the Baruch MS Quantitative Methods program.

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Dinia

Data Science Engineer

“Ability may get you to the top, but it takes character to keep you there” – John Wooden

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Francis

Data Science Engineer

harrison

Harrison

Web Developer

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Jolly

Data Science Engineer

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JT

Data Science Engineer

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MJ

Office Manager

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Mitch

Junior Project Manager

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Nikki

Data Science Engineer

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