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Kevin Regan Email & Phone Number

Staff Software Engineer at Google
Location: Pittsburgh, Pennsylvania, United States 5 work roles 4 schools
1 work email found @google.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email k****@google.com
LinkedIn Profile matched
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Current company
Role
Staff Software Engineer
Location
Pittsburgh, Pennsylvania, United States
Company size

Who is Kevin Regan? Overview

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Quick answer

Kevin Regan is listed as Staff Software Engineer at Google, a company with 1 employees, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Kevin Regan.

Kevin Regan previously worked as Ph.D. Computer Science at University Of Toronto and Software Development Engineer at Amazon.Com. Kevin Regan holds Phd, Computer Science from University Of Toronto.

Company email context

Email format at Google

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*@google.com
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AeroLeads found 1 current-domain work email signal for Kevin Regan. Compare company email patterns before reaching out.

Profile bio

About Kevin Regan

Specialties: Large Scale Machine Learning & Optimizing Sequential Decisions Under Uncertainty

Listed skills include Machine Learning, Deep Learning, Tensorflow, Artificial Intelligence, and 16 others.

Current workplace

Kevin Regan's current company

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Google
Google
Staff Software Engineer
Mountain View, CA
Website
Employees
1
AeroLeads page
5 roles · 23 years

Kevin Regan work experience

A career timeline built from the work history available for this profile.

Staff Software Engineer

Current

Mountain View, CA, US

I lead a team building machine learning models for predicting the clickthrough rate (pCTR) for ads on Google.com.Previously I built tools that operate on hundreds of millions of webpages per day to extract structure and meaning---cleaning, transforming and reconciling data for serving from the Knowledge Graph.

Nov 2012 - Present

Ph.D. Computer Science

Toronto, Ontario, CA

Research involved learning models for sequential decision making under uncertainty. Published research on machine learning, robust optimization, and recommender systems.

Sep 2006 - Nov 2012

Software Development Engineer

Seattle, WA, US

Web Services Team - Mechanical Turk

Jun 2006 - Aug 2006

Masters Student - Computer Science - Artificial Intelligence

Waterloo, Ontario, CA

Received Outstanding Achievement in Graduate Studies Awardgiven to top graduating masters student in the Faculty of Mathematics

2004 - 2006 ~2 yrs

Software Development Engineer

Amazon.Com
2003 - 2003
Team & coworkers

Colleagues at Google

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4 education records

Kevin Regan education

Phd, Computer Science

University Of Toronto

Mmath, Computer Science

University Of Waterloo

Bmath, Computer Science

University Of Waterloo

Education record

Malvern
FAQ

Frequently asked questions about Kevin Regan

Quick answers generated from the profile data available on this page.

What company does Kevin Regan work for?

Kevin Regan works for Google.

What is Kevin Regan's role at Google?

Kevin Regan is listed as Staff Software Engineer at Google.

What is Kevin Regan's email address?

AeroLeads has found 1 work email signal at @google.com for Kevin Regan at Google.

Where is Kevin Regan based?

Kevin Regan is based in Pittsburgh, Pennsylvania, United States while working with Google.

What companies has Kevin Regan worked for?

Kevin Regan has worked for Google, University Of Toronto, Amazon.Com, and University Of Waterloo.

Who are Kevin Regan's colleagues at Google?

Kevin Regan's colleagues at Google include Angelique Cordova, Joe Rebes, Rebecca Black, Joe Sayers, and Eric Chen.

How can I contact Kevin Regan?

You can use AeroLeads to view verified contact signals for Kevin Regan at Google, including work email, phone, and LinkedIn data when available.

What schools did Kevin Regan attend?

Kevin Regan holds Phd, Computer Science from University Of Toronto.

What skills is Kevin Regan known for?

Kevin Regan is listed with skills including Machine Learning, Deep Learning, Tensorflow, Artificial Intelligence, Optimization, Convolutional Neural Networks, Python, and Java.

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