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Paul Sas

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AI Integrator @ Motivation Engineers AI Integrator | Behavioral Economist | Experimental Design Expert
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Education

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Stanford University

Ph.D, Psychology 1994-01-01 - 2000-01-01
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Harvard Graduate School of Education

Master of Arts (M.A.), Developmental Psych 1992-01-01 - 1994-01-01
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Northwestern University

Bachelor's degree, Philosophy of Science -

Work Experience

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Motivation Engineers

Current

Motivation Engineers

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AppDynamics

2021-03-01 - 2023-03-01

AppDynamics

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Motivation Engineers

2015-05-01 - 2021-03-01

Motivation Engineers

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STATION F

2017-08-01 - 2018-07-01

STATION F

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Hasso Plattner Institute of Design at Stanford ( d.school ) | Startuponomics | Quantified Self

2009-01-01 - 2017-01-01

Hasso Plattner Institute of Design at Stanford ( d.school ) | Startuponomics | Quantified Self

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Intuit

2012-02-01 - 2015-04-01

Intuit

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E*TRADE from Morgan Stanley

2000-06-01 - 2012-01-01

E*TRADE from Morgan Stanley

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PARC

1997-01-01 - 1998-01-01

PARC

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BBN Technologies

1993-01-01 - 1994-01-01

BBN Technologies

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It's Alive! Multimedia group

1989-01-01 - 1993-01-01

It's Alive! Multimedia group

Skills

Product Development Artificial Intelligence (AI) User Experience Design (UED) Computer Science Statistical Analysis Product Research Customer Insight Applied Research User Experience Usability Testing User Research Product Design Human Computer Interaction Interaction Design User-centered Design Data Analysis Qualitative Research Statistics Quantitative Research Analytics

Summary

Since ChatGPT's launch (Dec '22), I've specialized in transforming financial advisory workflows through LLM integration, leveraging my background in behavioral psychology and quantitative research. I help firms deploy AI solutions that enable deeply personalized client communications while maintaining compliance standards. Speaker on psychology, behavioral economics & user experience: https://www.slideshare.net/thatpaul Core expertise: • AI/LLM implementation for financial services • Behavioral research and psychology • Advanced statistical analysis (multivariate modeling, random forest ML, discrete choice models) • Qualitative research integration • Executive-level data communication

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