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Daniel Sammons Email & Phone Number

Member of Technical Staff - Research Engineering at Runway
Location: San Francisco Bay Area, United States 11 work roles 3 schools
1 work email found @runwayml.com 2 phones found area 650 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email d****@runwayml.com
Direct phone (650) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Member of Technical Staff - Research Engineering
Location
San Francisco Bay Area, United States

Who is Daniel Sammons? Overview

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Quick answer

Daniel Sammons is listed as Member of Technical Staff - Research Engineering at Runway, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at runwayml.com, phone signal with area code 650, and a matched LinkedIn profile for Daniel Sammons.

Daniel Sammons previously worked as Member of Technical Staff at Runway and Machine Learning Engineering Manager at Doma. Daniel Sammons holds Master Of Science (M.S.), Computer Science from Old Dominion University.

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Email format at Runway

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{first}@runwayml.com
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AeroLeads found 1 current-domain work email signal for Daniel Sammons. Compare company email patterns before reaching out.

Profile bio

About Daniel Sammons

Machine learning engineering manager at Doma. Previously, I've worked on computer vision and machine learning at Orbital Insight and NASA

Listed skills include Machine Learning, Deep Learning, Python, Lua/Torch, and 11 others.

Current workplace

Daniel Sammons's current company

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Runway
Runway
Member of Technical Staff - Research Engineering
Website
AeroLeads page
11 roles

Daniel Sammons work experience

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

Member Of Technical Staff - Research Engineering

California, United States

Member Of Technical Staff

New York, Us

Machine Learning Engineering Manager

San Francisco, Ca, Us

Sep 2021 - Apr 2023

Senior Staff Machine Learning Engineer

San Francisco, Ca, Us

Jul 2021 - Sep 2021

Staff Machine Learning Engineer

San Francisco, Ca, Us

Apr 2021 - Jul 2021

Staff Data Scientist

San Francisco, Ca, Us

Jan 2020 - Apr 2021

Senior Data Scientist

San Francisco, Ca, Us

May 2019 - Jan 2020

Software Engineer - Computer Vision/Deep Learning

Palo Alto, California, Us

Oct 2016 - May 2019

Data Analyst, Applied Machine Learning

Hampton, Virginia, Us

At NASA, I worked on a variety projects that utilized machine learning to solve problems in science and engineering.Here are some of my accomplishments:Implemented new convolutional neural network architecture for image segmentation based on the encoder-decoder model that led to a 1,000 time speedup over previous window-based approach. Code was developed in Lua and utilized the Torch library. Developed an instance-based image retrieval system that allows for retrieval based on visual similarity of the images or the faces of people in the images for NASA Langley's catalog of technical images. Code was implemented in Python using the libraries such as pycaffe (CNNs), Openface (face recognition), and Falconn (locality sensitive hashing).Created content for an internal machine learning website that provided a gentle introduction to fundamental concepts of machine learning (e.g. supervised vs. unsupervised) and compiled summaries of external online resources for learning about machine learning for scientists and engineers at Langley Research Center who are interested in utilizing machine learning for their work.

Nov 2015 - Sep 2016

Pathways Intern - Big Data And Machine Intelligence

Hampton, Virginia, Us

As an intern, I researched and implemented methods for segmenting damage in images of materials such as carbon fiber. Results of this work, which utilized convolutional neural networks, were presented as a poster at the 42nd Annual Review of Progress in Nondestructive Evaluation and subsequently published as a paper in the conference proceedings. At the conclusion of the internship, I was offered and accepted the opportunity to continue at NASA Langley as an employee.

May 2014 - Nov 2015

Graduate Teaching Assistant

Norfolk, Va, Us

As a T.A., I taught a lab for an "Information Literacy" course and graded papers for an online "Computers in Society" course.

Aug 2013 - May 2014
Team & coworkers

Colleagues at Runway

Other employees you can reach at runwayml.com. View company contacts →

3 education records

Daniel Sammons education

Master Of Science (M.S.), Computer Science

Old Dominion University

Graduate Certificate, Cyber Security

Old Dominion University

Bachelor Of Science (B.S.), Mathematics

Old Dominion University
FAQ

Frequently asked questions about Daniel Sammons

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

What company does Daniel Sammons work for?

Daniel Sammons works for Runway.

What is Daniel Sammons's role at Runway?

Daniel Sammons is listed as Member of Technical Staff - Research Engineering at Runway.

What is Daniel Sammons's email address?

AeroLeads has found 1 work email signal at @runwayml.com for Daniel Sammons at Runway.

What is Daniel Sammons's phone number?

AeroLeads has found 2 phone signal(s) with area code 650 for Daniel Sammons at Runway.

Where is Daniel Sammons based?

Daniel Sammons is based in San Francisco Bay Area, United States while working with Runway.

What companies has Daniel Sammons worked for?

Daniel Sammons has worked for Runway, Doma, Orbital Insight, Inc., Nasa Langley Research Center, and Old Dominion University.

Who are Daniel Sammons's colleagues at Runway?

Daniel Sammons's colleagues at Runway include Doggett Daya, Hudson Yeo, David Mark, Alexander Miller, and Onairam Gonzalez.

How can I contact Daniel Sammons?

You can use AeroLeads to view verified contact signals for Daniel Sammons at Runway, including work email, phone, and LinkedIn data when available.

What schools did Daniel Sammons attend?

Daniel Sammons holds Master Of Science (M.S.), Computer Science from Old Dominion University.

What skills is Daniel Sammons known for?

Daniel Sammons is listed with skills including Machine Learning, Deep Learning, Python, Lua/Torch, C++, Java, Linux, and Computer Vision.

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