Daniel Sammons Email & Phone Number
@runwayml.com
2 phones found area 650
LinkedIn matched
Who is Daniel Sammons? Overview
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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.
Email format at Runway
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AeroLeads found 1 current-domain work email signal for Daniel Sammons. Compare company email patterns before reaching out.
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.
Daniel Sammons's current company
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Daniel Sammons work experience
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Member Of Technical Staff
Machine Learning Engineering Manager
Senior Staff Machine Learning Engineer
Staff Machine Learning Engineer
Staff Data Scientist
Senior Data Scientist
Software Engineer - Computer Vision/Deep Learning
Data Analyst, Applied Machine Learning
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.
Pathways Intern - Big Data And Machine Intelligence
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.
Graduate Teaching Assistant
As a T.A., I taught a lab for an "Information Literacy" course and graded papers for an online "Computers in Society" course.
Colleagues at Runway
Other employees you can reach at runwayml.com. View company contacts →
Doggett Daya
Colleague at RunwayDoha, Qatar
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HY
Hudson Yeo
Colleague at RunwayNew York, United States
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DM
David Mark
Colleague at RunwayAbuja, Federal Capital Territory, Nigeria
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AM
Alexander Miller
Colleague at RunwaySeattle, Washington, United States
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OG
Onairam Gonzalez
Colleague at RunwayLos Angeles, California, United States
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ES
Eric Soares Silva
Colleague at RunwayBrasília, Federal District, Brazil
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JS
Jagdish Singh
Colleague at RunwayGurugram, Haryana, India
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FD
Francesco D'Angela
Colleague at RunwayMilan, Lombardy, Italy
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МК
Макс Котов
Colleague at RunwayDnipro, Dnipropetrovsk, Ukraine
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JW
Jhonathan Wollace
Colleague at RunwayBrasília, Federal District, Brazil
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Daniel Sammons education
Master Of Science (M.S.), Computer Science
Graduate Certificate, Cyber Security
Bachelor Of Science (B.S.), Mathematics
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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