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Shannon Sequeira Email & Phone Number

AI PhD @ Cornell CS | ex-Google Gemini at Cornell University
Location: New York, New York, United States 4 work roles 3 schools
2 work emails found @google.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Role
AI PhD @ Cornell CS | ex-Google Gemini
Location
New York, New York, United States

Who is Shannon Sequeira? Overview

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Quick answer

Shannon Sequeira is listed as AI PhD @ Cornell CS | ex-Google Gemini at Cornell University, based in New York, New York, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Shannon Sequeira.

Shannon Sequeira previously worked as Doctoral Student at Cornell University and Data Scientist at Google. Shannon Sequeira holds Doctor Of Philosophy - Phd, Computer Science from Cornell University.

Company email context

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{first_initial}{last}@google.com
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AeroLeads found 2 current-domain work email signals for Shannon Sequeira. Compare company email patterns before reaching out.

Profile bio

About Shannon Sequeira

Shannon Sequeira is a AI PhD @ Cornell CS | ex-Google Gemini at Cornell University. They possess expertise in bayesian statistics, r, machine learning, pytorch, design of experiments and 9 more skills.

Listed skills include Bayesian Statistics, R, Machine Learning, Pytorch, and 10 others.

Current workplace

Shannon Sequeira's current company

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Cornell University
Cornell University
AI PhD @ Cornell CS | ex-Google Gemini
AeroLeads page
4 roles

Shannon Sequeira work experience

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

Doctoral Student

Current

Ithaca, NY, US

Reinforcement learning, causal inference and algorithmic fairness.

Aug 2024 - Present

Data Scientist

Mountain View, CA, US

Machine learning and causal inference for user behavior and experimentation.

Feb 2020 - Oct 2024

Graduate Research Assistant

Minneapolis And St. Paul, Minnesota, US

Taught undergraduate and graduate statistics classes using R on basic applied statistics. Designed course content and graded homework for a graduate nonparametric statistics class.

Sep 2017 - Dec 2019

Graduate Statistician Intern

St. Paul, MN, US

Undertook research projects involving chemometric analysis of spectroscopy data using classical statistics and machine learning.Aided in the design and analysis of experiments for other intern projects on industrial and production processes.Studied the effectiveness of machine learning methods on practical problems involving ECOLAB data.Conducted training.

Jun 2018 - Aug 2018
3 education records

Shannon Sequeira education

Doctor Of Philosophy - Phd, Computer Science

Cornell University

Master Of Science - Ms, Statistics

University Of Minnesota

Bachelor Of Arts - Ba

St. Stephen'S College, Delhi
FAQ

Frequently asked questions about Shannon Sequeira

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

What company does Shannon Sequeira work for?

Shannon Sequeira works for Cornell University.

What is Shannon Sequeira's role at Cornell University?

Shannon Sequeira is listed as AI PhD @ Cornell CS | ex-Google Gemini at Cornell University.

What is Shannon Sequeira's email address?

AeroLeads has found 2 work email signals at @google.com for Shannon Sequeira at Cornell University.

Where is Shannon Sequeira based?

Shannon Sequeira is based in New York, New York, United States while working with Cornell University.

What companies has Shannon Sequeira worked for?

Shannon Sequeira has worked for Cornell University, Google, University Of Minnesota, and Ecolab.

How can I contact Shannon Sequeira?

You can use AeroLeads to view verified contact signals for Shannon Sequeira at Cornell University, including work email, phone, and LinkedIn data when available.

What schools did Shannon Sequeira attend?

Shannon Sequeira holds Doctor Of Philosophy - Phd, Computer Science from Cornell University.

What skills is Shannon Sequeira known for?

Shannon Sequeira is listed with skills including Bayesian Statistics, R, Machine Learning, Pytorch, Design Of Experiments, Algorithms, Python, and Tensorflow.

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