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Paul Szerlip

Senior Research Scientist at Uber AI Labs

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Education Overview

• university of central florida

• tufts university

Companies Overview

• uber

• geometric intelligence

• university of central florida

Experience Overview

9.7 Years

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Experience

Senior Machine Learning Research Scientist

uber | San Francisco Bay Area

2016 - Present

Machine Learning Researcher

geometric intelligence | Greater New York City Area

2015 - 2016

PHD Student

university of central florida | Orlando, Florida Area

2010 - 2015

Skills

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Applied Machine Learning

Artificial Intelligence (AI)

Deep Learning

forecasting

IP

Machine Learning (ML)

Research

Research Scientist

User Acquisition

Contact Details

Email (Verified)

pauXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

university of central florida

Doctor of Philosophy (PhD)

2010 - 2014

tufts university

Bachelor of Arts (B.A.)

2006 - 2010

Frequently asked questions

What company does Paul Szerlip work for?

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Paul Szerlip works for uber

What is Paul Szerlip role in his workplace?

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Paul Szerlip's role in his workplace is Senior Machine Learning Research Scientist

What is Paul Szerlip's tenure in his workplace?

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Paul Szerlip's tenure in his workplace is 7.92 years

What is Paul Szerlip's total experience?

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Paul Szerlip's total experience is 9.67 years

What is Paul Szerlip's LinkedIn profile?

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Paul Szerlip's LinkedIn profile can be found here

What is Paul Szerlip's email address?

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Paul Szerlip's email address is pauXXXXXXXXXXXXXXXXXom. Unlock here

What is Paul Szerlip's phone/WhatsApp number?

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Paul Szerlip's phone number is +91XXXXXXXXXX. Unlock here

What schools did Paul Szerlip attend?

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Paul Szerlip has attended university of central florida, tufts university

What companies has Paul Szerlip worked with?

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Paul Szerlip has worked with uber, geometric intelligence, university of central florida

What are some of Paul Szerlip's skills?

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Paul Szerlip has skills in Applied Machine Learning, Artificial Intelligence (AI), Deep Learning, forecasting, IP, Machine Learning (ML) and more.

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