Stephanie Stacy Email & Phone Number
@williams.edu
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Who is Stephanie Stacy? Overview
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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.
Email format at GE Research
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AeroLeads found 1 current-domain work email signal for Stephanie Stacy. Compare company email patterns before reaching out.
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.
Stephanie Stacy's current company
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Stephanie Stacy work experience
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Research Scientist - Artificial Intelligence & Computer Vision
Current
Graduate Researcher
Project: Developed Bayesian models of shared agency Theory of Mind to capture how cooperators can leverage context to understand ambiguous signals
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)
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
Research Assistant In Computational Biology And Epidemiology
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.
Statistics Teachers Assistant — Data Mining
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.
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.
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.
Statistics Teachers Assistant — Introductory Statistics
Colleagues at GE Research
Other employees you can reach at geglobalresearch.com. View company contacts for 1004 employees →
Justin Foehner
Colleague at Ge ResearchSchenectady, New York, United States, United States
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Kiran Desai
Colleague at Ge ResearchBengaluru, Karnataka, India, India
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DB
Dorn Beth
Colleague at Ge ResearchSchenectady, New York, United States, United States
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Evan Dolley
Colleague at Ge ResearchAlbany, New York Metropolitan Area, United States
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MM
Martin Morra
Colleague at Ge ResearchSchenectady, New York, United States, United States
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XD
Xiaoming Du
Colleague at Ge ResearchShanghai, China, China
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BC
Baokai Cheng
Colleague at Ge ResearchSchenectady, New York, United States, United States
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YW
Yukai Wang
Colleague at Ge ResearchAlbany, New York Metropolitan Area, United States
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HL
Hongbin Leng
Colleague at Ge ResearchChina, China
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MD
Mark Dame
Colleague at Ge ResearchSchenectady, New York, United States, United States
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Stephanie Stacy education
Doctor Of Philosophy - Phd, Statistics
Bachelor'S Degree, Statistics, Psychology With Honors
Education record
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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