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Amrita Ray Email & Phone Number
Entrepreneur in Residence
at
Stanford University
2 work emails found
@chanzuckerberg.com
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Entrepreneur in Residence
Location
Palo Alto, California, United States
Who is Amrita Ray? Overview
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Quick answer
Amrita Ray is listed as Entrepreneur in Residence at Stanford University, based in Palo Alto, California, United States. AeroLeads shows a work email signal at chanzuckerberg.com and a matched LinkedIn profile for Amrita Ray.
Amrita Ray previously worked as Advisor at Yellowdig and Founder at Stealth Ai Startup. Amrita Ray holds Postgraduate Degree, Mathematics And Statistics from University Of California, Berkeley.
Company email context
Email format at Stanford University
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{first_initial}{last}@chanzuckerberg.com
89% confidence
AeroLeads found 2 current-domain work email signals for Amrita Ray. Compare company email patterns before reaching out.
Profile bio
About Amrita Ray
Experienced leader in Data & AI for technology products in education (CZI), enterprise (Microsoft) and consumer (Skype) technologies. Held academic positions in ML applications at Berkeley and Stanford. Experienced in advising startups, academic institutions, & mentors data science & engineering professionals in tech.
Listed skills include R, Statistical Modeling, Bioinformatics, Stata, and 16 others.
Current workplace
Amrita Ray's current company
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8 roles
Amrita Ray work experience
A career timeline built from the work history available for this profile.
Advisor
Current
Dec 2024 - Present
Founder
Current
Aug 2024 - Present
Director Of Data & Ai, Edtech
Current- Lead data science and engineering teams to drive 4 edtech products in K-12 education.- Developed &, influenced data informed product & AI strategies withcross-functional peers, communicated with exec leadership.- Pivoted and grew the team by hiring and growing ICs and managers, fostering a high-performance culture.- Lead company wide efforts in hiring & growing technical roles.
Jul 2019 - Present
Senior Data Science Manager
I support the data & ML team in Microsoft Teams and Skype, to grow user retention & engagement (using ML and network graph models) and improve products.
Oct 2014 - May 2019
Research Scientist, Statistics And Statistical Genetics
Principal investigator in Statistical & Genetics @ Stanford.My work involved building statistical models in areas of genetics and personalized medicine. Also lots of natural language processing and Machine learning, Big data genetics @ Stanford.
Jun 2010 - Sep 2014
Jun 2013 - Sep 2013
Statistician
Nov 2008 - Jun 2010
3 education records
Amrita Ray education
Postgraduate Degree, Mathematics And Statistics
University Of California, Berkeley
Ph.D, Statistics
University Of Pittsburgh
M. Stat, Statistics
Indian Statistical Institute, Kolkata
FAQ
Frequently asked questions about Amrita Ray
Quick answers generated from the profile data available on this page.
What company does Amrita Ray work for?
Amrita Ray works for Stanford University.
What is Amrita Ray's role at Stanford University?
Amrita Ray is listed as Entrepreneur in Residence at Stanford University.
What is Amrita Ray's email address?
AeroLeads has found 2 work email signals at @chanzuckerberg.com for Amrita Ray at Stanford University.
Where is Amrita Ray based?
Amrita Ray is based in Palo Alto, California, United States while working with Stanford University.
What companies has Amrita Ray worked for?
Amrita Ray has worked for Stanford University, Yellowdig, Stealth Ai Startup, Chan Zuckerberg Initiative, and Microsoft.
How can I contact Amrita Ray?
You can use AeroLeads to view verified contact signals for Amrita Ray at Stanford University, including work email, phone, and LinkedIn data when available.
What schools did Amrita Ray attend?
Amrita Ray holds Postgraduate Degree, Mathematics And Statistics from University Of California, Berkeley.
What skills is Amrita Ray known for?
Amrita Ray is listed with skills including R, Statistical Modeling, Bioinformatics, Stata, Computational Biology, Machine Learning, Data Analysis, and Data Mining.
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