Stephanie Stacy
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Stephanie Stacy Email & Phone Number

Research Scientist - Artificial Intelligence and Computer Vision at GE Research
Location: United States, United States, United States 11 work roles 3 schools
1 work email found @williams.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Research Scientist - Artificial Intelligence and Computer Vision
Location
United States, United States, United States
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Who is Stephanie Stacy? Overview

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Quick answer

Stephanie Stacy is listed as Research Scientist - Artificial Intelligence and Computer Vision at GE Research, a company with 1004 employees, based in United States, United States, United States. AeroLeads shows a work email signal at williams.edu and a matched LinkedIn profile for Stephanie Stacy.

Stephanie Stacy previously worked as Research Scientist - Artificial Intelligence & Computer Vision at Ge Research and Graduate Researcher at University Of California, Los Angeles. Stephanie Stacy holds Doctor Of Philosophy - Phd, Statistics from Ucla.

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Email format at GE Research

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{first}.{last}@williams.edu
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Profile bio

About Stephanie Stacy

Stephanie Stacy is a Research Scientist - Artificial Intelligence and Computer Vision at GE Research. She possess expertise in r, statistics, microsoft excel, microsoft word, powerpoint and 12 more skills.

Listed skills include R, Statistics, Microsoft Excel, Microsoft Word, and 13 others.

Current workplace

Stephanie Stacy's current company

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GE Research
Ge Research
Research Scientist - Artificial Intelligence and Computer Vision
United States
Employees
1004
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11 roles · 12 years

Stephanie Stacy work experience

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Research Scientist - Artificial Intelligence And Computer Vision

United States

Research Scientist - Artificial Intelligence & Computer Vision

Current

Niskayuna, New York, United States

Jan 2023 - Present

Graduate Researcher

Department Of Statistics

Project: Developed Bayesian models of shared agency Theory of Mind to capture how cooperators can leverage context to understand ambiguous signals

Sep 2017 - Sep 2022

Teaching Assistant

Courses Taught: STAT 141SL - Practice of Statistical Consulting (Spring 2019, Winter 2020) STAT 232C - Cognitive Artificial Intelligence (Winter 2019) - Graduate STAT 10 - Introduction to Statistical Reasoning (Fall 2018) STAT 101C - Introduction to Statistical Models and Data Mining (Summer 2018)

Jun 2018 - Jun 2019

Phd Intern

Project: Devised a pipeline for unsupervised clustering to extract semantically meaningful clusters fromgenerative adversarial networks (GANs)Project: Formulated a method for inferring and synthesizing rationales behind novel observed behaviors byrepurposing existing algorithms for analogical mapping

Sep 2021 - Dec 2021

Research Assistant In Computational Biology And Epidemiology

Greater Seattle Area

For both the summer of 2016 and 2017, I worked in the Bedford Lab — vaccines and infectious disease division — which is committed to open source, real-time phylogenetic disease modeling. I developed an algorithm designed to target possible missed cases of infection in viral outbreaks, such as Ebola, using coalescent theory and coded custom functions in R.

Jun 2016 - Aug 2017

Statistics Teachers Assistant — Data Mining

Jan 2017 - Jun 2017

Cognitive Psychology Research Assistant

Beginning in sophomore year and culminating in a senior thesis, I worked in a computational cognitive psychology lab specializing in how individuals learn to categorize objects. I explored how the order in which instances of categories are presented can affect which features of the category are prioritized using eyetracking. I created stimuli, developed.

Dec 2014 - Jun 2017

Sports Photographer

I photographed a variety of athletic events for Williams College Sports Information. Two of my tennis photographs were published in the New York Times.

2014 - Jun 2017

Statistics Research Assistant

Worked alongside a professor to research methodologies for applied longitudinal data analysis as well as how to model non-monotonic growth curves.

Jan 2015 - Jun 2015

Statistics Teachers Assistant — Introductory Statistics

Aug 2014 - Dec 2014
Team & coworkers

Colleagues at GE Research

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3 education records

Stephanie Stacy education

Doctor Of Philosophy - Phd, Statistics

Activities and Societies: Society for Women in Statistics, Math and Physical Sciences Council

Bachelor'S Degree, Statistics, Psychology With Honors

Activities and Societies: Cum Laude, Sigma Xi, Mu Sigma Rho, Student Math and Statistics Advisory Board, Junior Advisor, Ritmo Latino.

Education record

Charles Wright Academy

Activities and Societies: Cum Laude, Knowledge Bowl

FAQ

Frequently asked questions about Stephanie Stacy

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What company does Stephanie Stacy work for?

Stephanie Stacy works for GE Research.

What is Stephanie Stacy's role at GE Research?

Stephanie Stacy is listed as Research Scientist - Artificial Intelligence and Computer Vision at GE Research.

What is Stephanie Stacy's email address?

AeroLeads has found 1 work email signal at @williams.edu for Stephanie Stacy at GE Research.

Where is Stephanie Stacy based?

Stephanie Stacy is based in United States, United States, United States while working with GE Research.

What companies has Stephanie Stacy worked for?

Stephanie Stacy has worked for Ge Research, University Of California, Los Angeles, Fred Hutch, and Williams College.

Who are Stephanie Stacy's colleagues at GE Research?

Stephanie Stacy's colleagues at GE Research include Justin Foehner, Kiran Desai, Dorn Beth, Evan Dolley, and Martin Morra.

How can I contact Stephanie Stacy?

You can use AeroLeads to view verified contact signals for Stephanie Stacy at GE Research, including work email, phone, and LinkedIn data when available.

What schools did Stephanie Stacy attend?

Stephanie Stacy holds Doctor Of Philosophy - Phd, Statistics from Ucla.

What skills is Stephanie Stacy known for?

Stephanie Stacy is listed with skills including R, Statistics, Microsoft Excel, Microsoft Word, Powerpoint, Java, Digital Photography, and Sports Photography.

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