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Samuel Stanton Email & Phone Number
Technical Staff
at
Coefficient Bio
2 work emails found
@gene.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Technical Staff
Location
New York, United States
Company size
Who is Samuel Stanton? Overview
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Quick answer
Samuel Stanton is listed as Technical Staff at Coefficient Bio, a with 20397 employees, based in New York, United States. AeroLeads shows a work email signal at gene.com and a matched LinkedIn profile for Samuel Stanton.
Samuel Stanton previously worked as Principal Machine Learning Scientist at Genentech and Senior Machine Learning Scientist at Genentech. Samuel Stanton holds Doctor Of Philosophy - Phd, Data Science from New York University.
Company email context
Email format at Coefficient Bio
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{first}.{last}@gene.com
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AeroLeads found 2 current-domain work email signals for Samuel Stanton. Compare company email patterns before reaching out.
Profile bio
About Samuel Stanton
I am interested in foundational machine learning research with applications that promote human flourishing, particularly the life sciences. I wish to understand the best way to build self-sustaining intelligent systems that automatically collect and incorporate the necessary information to solve difficult optimization problems, such as black-box optimization and adaptive control problems. Applications of my work include control algorithms for robotic systems, efficient data collection strategies for public health surveillance, and lab-in-the-loop optimization algorithms for antibody engineering.
Listed skills include Machine Learning, Data Science, Mathematical Modeling, Data Analysis, and 17 others.
Current workplace
Samuel Stanton's current company
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Coefficient Bio
8 roles
Samuel Stanton work experience
A career timeline built from the work history available for this profile.
Principal Machine Learning Scientist
Current
Apr 2024 - Present
Senior Machine Learning Scientist
Current
Jun 2022 - Present
Applied Science Intern
Summer 2021: investigated adversarial training for robust reinforcement learning as part of the AWS AI Lablet directed by Dr. Alex Smola. Proposed modifications to standard RL algorithms were evaluated at scale using EC2 cloud compute resources.Summer 2020: investigated resource-efficient algorithms for neural architecture search as part of a long-term research program to improve the capabilities and accessibility of the Amazon AutoML product Sagemaker. Implemented prototype in Python and drafted a tech report and tutorial on the topic.
Jun 2020 - Oct 2021
Machine Learning Research Intern
Tasked with investigating the feasibility of developing reinforcement learning agents for finance and logistics. Independently defined an agenda to combine recent deep reinforcement learning algorithms with probabilistic transition models. Implemented prototype in Python and presented initial results. Supervised by Dr. Mark van der Wilk.
Jun 2019 - Sep 2019
Data Science Intern
Tasked with exploring data regarding analyst work-flow to improve assessment and training procedures for internal operations. Wrote internal API wrappers and scripts to aggregate, clean, and visualize tool usage data. Presented initial findings, delivered an analyst assessment dashboard for managers. Held a Top Secret security clearance.
May 2017 - Aug 2017
Undergraduate Research Assistant
Designed and executed experiments for a fluid dynamics lab conducting basic research on the behavior of viscous particle slurries. Personal responsibilities included writing image analysis code in Matlab.
Jun 2016 - Aug 2016
Bank Teller
Jun 2014 - May 2016
Team & coworkers
Colleagues at Coefficient Bio
Other employees you can reach at gene.com. View company contacts for 20397 employees →
WM
Will Morgan
Colleague at Coefficient BioSan Mateo, California, United States
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IN
Ihsan Nijem
Colleague at Coefficient BioBrisbane, California, United States
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KF
Kyle Frank
Colleague at Coefficient BioColorado Springs, Colorado, United States
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MM
Michael Mcninch
Colleague at Coefficient BioOregon City, Oregon, United States
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JU
Josh Uili
Colleague at Coefficient BioSunnyvale, California, United States
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KH
Katherine Hu
Colleague at Coefficient BioSouth San Francisco, California, United States
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AB
Aisha Baro
Colleague at Coefficient BioHalf Moon Bay, California, United States
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JW
Jacques Wilson
Colleague at Coefficient BioSouth San Francisco, California, United States
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CM
Christine Mantz
Colleague at Coefficient BioJefferson County, Missouri, United States
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LG
Linda Greener
Colleague at Coefficient BioSchwenksville, Pennsylvania, United States
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Will Morgan
Colleague at Coefficient BioSan Mateo, California, United States
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IN
Ihsan Nijem
Colleague at Coefficient BioBrisbane, California, United States
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KF
Kyle Frank
Colleague at Coefficient BioColorado Springs, Colorado, United States
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MM
Michael Mcninch
Colleague at Coefficient BioOregon City, Oregon, United States
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JU
Josh Uili
Colleague at Coefficient BioSunnyvale, California, United States
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KH
Katherine Hu
Colleague at Coefficient BioSouth San Francisco, California, United States
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AB
Aisha Baro
Colleague at Coefficient BioHalf Moon Bay, California, United States
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JW
Jacques Wilson
Colleague at Coefficient BioSouth San Francisco, California, United States
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CM
Christine Mantz
Colleague at Coefficient BioJefferson County, Missouri, United States
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LG
Linda Greener
Colleague at Coefficient BioSchwenksville, Pennsylvania, United States
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3 education records
Samuel Stanton education
Doctor Of Philosophy - Phd, Data Science
Master Of Science - Ms, Operations Research
Bachelor Of Science (B.S.), Applied Mathematics, 3.98
FAQ
Frequently asked questions about Samuel Stanton
Quick answers generated from the profile data available on this page.
What company does Samuel Stanton work for?
Samuel Stanton works for Coefficient Bio.
What is Samuel Stanton's role at Coefficient Bio?
Samuel Stanton is listed as Technical Staff at Coefficient Bio.
What is Samuel Stanton's email address?
AeroLeads has found 2 work email signals at @gene.com for Samuel Stanton at Coefficient Bio.
Where is Samuel Stanton based?
Samuel Stanton is based in New York, United States while working with Coefficient Bio.
What companies has Samuel Stanton worked for?
Samuel Stanton has worked for Coefficient Bio, Genentech, Amazon Web Services (Aws), Secondmind, and United States Department Of Defense.
Who are Samuel Stanton's colleagues at Coefficient Bio?
Samuel Stanton's colleagues at Coefficient Bio include Will Morgan, Ihsan Nijem, Kyle Frank, Michael Mcninch, and Josh Uili.
How can I contact Samuel Stanton?
You can use AeroLeads to view verified contact signals for Samuel Stanton at Coefficient Bio, including work email, phone, and LinkedIn data when available.
What schools did Samuel Stanton attend?
Samuel Stanton holds Doctor Of Philosophy - Phd, Data Science from New York University.
What skills is Samuel Stanton known for?
Samuel Stanton is listed with skills including Machine Learning, Data Science, Mathematical Modeling, Data Analysis, Optimization, Operations Management, Statistical Modeling, and Mathematical Programming.
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