Data Scientist
Current
Dec 2019 - Present
AeroLeads people directory · profile
Lu Wang Email & Phone Number
Data Scientist
at
Apple
2 phones found
area 315
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Scientist
Location
Atlanta, Georgia, United States
Company size
Who is Lu Wang? Overview
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Quick answer
Lu Wang is listed as Data Scientist at Apple, a with 218112 employees, based in Atlanta, Georgia, United States. AeroLeads shows phone signal with area code 315 and a matched LinkedIn profile for Lu Wang.
Lu Wang previously worked as Research Scientist at Pindrop and Graduate Assistant at Georgia Institute Of Technology. Lu Wang holds Master Of Science (M.S.), Statistics from Georgia Institute Of Technology.
Company email context
Email format at Apple
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Apple
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Profile bio
About Lu Wang
Lu Wang is a Data Scientist at Apple. She possess expertise in r, statistics, python, data analysis, bioinformatics and 19 more skills.
Listed skills include R, Statistics, Python, Data Analysis, and 20 others.
Current workplace
Lu Wang's current company
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Apple
5 roles
Lu Wang work experience
A career timeline built from the work history available for this profile.
Research Scientist
Pindrop
Jan 2018 - Dec 2019
Graduate Assistant
Jan 2014 - Dec 2017
Intern
May 2017 - Aug 2017
Bioinformatics Technician
Jan 2013 - Jul 2013
Team & coworkers
Colleagues at Apple
Other employees you can reach at apple.com. View company contacts for 218112 employees →
SK
Sejal Kumari
Colleague at AppleLucknow, Uttar Pradesh, India
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DM
Damien Mills
Colleague at AppleUnited States
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CP
Cristina Picazo
Colleague at AppleCupertino, California, United States
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AH
Ali Hammoud
Colleague at AppleDetroit Metropolitan Area, United States
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JD
Jair De Leon
Colleague at AppleSanta Marta, Magdalena, Colombia
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MU
Mo Uzair
Colleague at AppleDelhi, India
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LW
Langalabo Wandile
Colleague at AppleJohannesburg, Gauteng, South Africa
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JS
James Smith
Colleague at ApplePortland, Oregon, United States
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SK
Sang Kim
Colleague at AppleLos Angeles, California, United States
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TB
Tony Behen
Colleague at ApplePetaluma, California, United States
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Sejal Kumari
Colleague at AppleLucknow, Uttar Pradesh, India
View →
DM
Damien Mills
Colleague at AppleUnited States
View →
CP
Cristina Picazo
Colleague at AppleCupertino, California, United States
View →
AH
Ali Hammoud
Colleague at AppleDetroit Metropolitan Area, United States
View →
JD
Jair De Leon
Colleague at AppleSanta Marta, Magdalena, Colombia
View →
MU
Mo Uzair
Colleague at AppleDelhi, India
View →
LW
Langalabo Wandile
Colleague at AppleJohannesburg, Gauteng, South Africa
View →
JS
James Smith
Colleague at ApplePortland, Oregon, United States
View →
SK
Sang Kim
Colleague at AppleLos Angeles, California, United States
View →
TB
Tony Behen
Colleague at ApplePetaluma, California, United States
View →
3 education records
Lu Wang education
Master Of Science (M.S.), Statistics
Doctor Of Philosophy (Phd)
Master Of Science (M.S.), Bioinformatics, 3.8
FAQ
Frequently asked questions about Lu Wang
Quick answers generated from the profile data available on this page.
What company does Lu Wang work for?
Lu Wang works for Apple.
What is Lu Wang's role at Apple?
Lu Wang is listed as Data Scientist at Apple.
What is Lu Wang's phone number?
AeroLeads has found 2 phone signal(s) with area code 315 for Lu Wang at Apple.
Where is Lu Wang based?
Lu Wang is based in Atlanta, Georgia, United States while working with Apple.
What companies has Lu Wang worked for?
Lu Wang has worked for Apple, Pindrop, Georgia Institute Of Technology, and Genentech.
Who are Lu Wang's colleagues at Apple?
Lu Wang's colleagues at Apple include Sejal Kumari, Damien Mills, Cristina Picazo, Ali Hammoud, and Jair De Leon.
How can I contact Lu Wang?
You can use AeroLeads to view verified contact signals for Lu Wang at Apple, including work email, phone, and LinkedIn data when available.
What schools did Lu Wang attend?
Lu Wang holds Master Of Science (M.S.), Statistics from Georgia Institute Of Technology.
What skills is Lu Wang known for?
Lu Wang is listed with skills including R, Statistics, Python, Data Analysis, Bioinformatics, Big Data Analytics, Spark, and Matlab.
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