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Ke Yu Email & Phone Number

PhD, Gen AI at Google
Location: Seattle, Washington, United States 4 work roles 5 schools
1 work email found @lumeris.com 1 phone found area 314 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email k****@lumeris.com
Direct phone (314) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
PhD, Gen AI
Location
Seattle, Washington, United States
Company size

Who is Ke Yu? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Ke Yu is listed as PhD, Gen AI at Google, a company with 1 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at lumeris.com, phone signal with area code 314, and a matched LinkedIn profile for Ke Yu.

Ke Yu previously worked as Senior Research Engineer at Google and Lead Data Scientist at Aetna. Ke Yu holds Doctor Of Philosophy - Phd, Artificial Intelligence from University Of Pittsburgh.

Company email context

Email format at Google

This section adds company-level context without repeating Ke Yu's masked contact details.

{first_initial}{last}@lumeris.com
86% confidence

AeroLeads found 1 current-domain work email signal for Ke Yu. Compare company email patterns before reaching out.

Profile bio

About Ke Yu

Ke Yu is a PhD, Gen AI at Google. He possess expertise in data mining, statistics, r, statistical modeling, machine learning and 23 more skills.

Listed skills include Data Mining, Statistics, R, Statistical Modeling, and 24 others.

Current workplace

Ke Yu's current company

Company context helps verify the profile and gives searchers a useful next step.

Google
Google
PhD, Gen AI
Mountain View, CA
Website
Employees
1
AeroLeads page
4 roles

Ke Yu work experience

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

Senior Research Engineer

Current

Mountain View, CA, US

Generative video model, 3D reconstruction

Sep 2023 - Present

Lead Data Scientist

Hartford, Connecticut, US

Nov 2016 - Jun 2018

Senior Data Scientist

Maryland Heights, Missouri, US

Feb 2015 - Nov 2016

Senior Consultant

Ibm

Armonk, New York, NY, US

May 2012 - Feb 2015
Team & coworkers

Colleagues at Google

Other employees you can reach at google.com. View company contacts for 1 employees →

5 education records

Ke Yu education

Doctor Of Philosophy - Phd, Artificial Intelligence

University Of Pittsburgh

Cross Registration, Machine Learning

Carnegie Mellon University

Master'S Degree, Statistics

Georgia Institute Of Technology

Electrical And Electronics Engineering

Nanyang Technological University Singapore

Bachelor'S Degree, Computer Science & Ee

Huazhong University Of Science And Technology
FAQ

Frequently asked questions about Ke Yu

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

What company does Ke Yu work for?

Ke Yu works for Google.

What is Ke Yu's role at Google?

Ke Yu is listed as PhD, Gen AI at Google.

What is Ke Yu's email address?

AeroLeads has found 1 work email signal at @lumeris.com for Ke Yu at Google.

What is Ke Yu's phone number?

AeroLeads has found 1 phone signal(s) with area code 314 for Ke Yu at Google.

Where is Ke Yu based?

Ke Yu is based in Seattle, Washington, United States while working with Google.

What companies has Ke Yu worked for?

Ke Yu has worked for Google, Aetna, Lumeris, and Ibm.

Who are Ke Yu's colleagues at Google?

Ke Yu's colleagues at Google include Dylsn Jacobs, Brad Helmer, Claire Porter, Paul Cold, and Hansen Wu.

How can I contact Ke Yu?

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

What schools did Ke Yu attend?

Ke Yu holds Doctor Of Philosophy - Phd, Artificial Intelligence from University Of Pittsburgh.

What skills is Ke Yu known for?

Ke Yu is listed with skills including Data Mining, Statistics, R, Statistical Modeling, Machine Learning, Matlab, Predictive Modeling, and Sql.

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