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Mark Thompson Email & Phone Number

Data Scientist, @Plunk, Ph.D., machine learning, computer vision, generative AI, LLMs at Vouched
Location: Seattle, Washington, United States 7 work roles 2 schools
1 work email found @pnnl.gov LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@pnnl.gov
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Current company
Role
Data Scientist, @Plunk, Ph.D., machine learning, computer vision, generative AI, LLMs
Location
Seattle, Washington, United States

Who is Mark Thompson? Overview

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Quick answer

Mark Thompson is listed as Data Scientist, @Plunk, Ph.D., machine learning, computer vision, generative AI, LLMs at Vouched, based in Seattle, Washington, United States. AeroLeads shows a work email signal at pnnl.gov and a matched LinkedIn profile for Mark Thompson.

Mark Thompson previously worked as Sr. Data Scientist, Contractor at Vouched and Principal Data Scientist at Plunk. Mark Thompson holds Doctor Of Philosophy - Phd, Chemistry from University Of Florida.

Company email context

Email format at Vouched

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{first}.{last}@pnnl.gov
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AeroLeads found 1 current-domain work email signal for Mark Thompson. Compare company email patterns before reaching out.

Profile bio

About Mark Thompson

Data Scientist, Ph.D., with expertise spanning many domains including computer vision, geospatial machine learning, generative adversarial networks, medical imaging, LLMs, drug design, and drug docking. Expertise using LLMs to study protein-protein interactions. Proven track record in designing, building, training, and deploying complex machine learning systems. Excels at creatively solving challenging machine learning and AI problems. Adept at contributing to cutting-edge research and development projects. I can provide a list of publications upon request.

Listed skills include Software Development, Software Engineering, Java, Software Design, and 20 others.

Current workplace

Mark Thompson's current company

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Vouched
Vouched
Data Scientist, @Plunk, Ph.D., machine learning, computer vision, generative AI, LLMs
AeroLeads page
7 roles

Mark Thompson work experience

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

Sr. Data Scientist, Contractor

Current

Seattle, WA, US

Nov 2024 - Present

Principal Data Scientist

Bellevue, Washington, US

  • Led the work to create transformer-based Automated Valuation Models (AVM) for the real estate market
  • Developed Stable Diffusion models for Generative AI for augmenting real estate photo data used in quality scores
  • Streamlined Databricks/MLFLow training pipeline resulting in enhanced reusability of training data and faster throughput
Oct 2023 - Jun 2024

Data Scientist, Contractor

Vancouver, British Columbia, CA

  • Developed infrastructure and algorithms for satellite image analysis, focusing on agriculture, climate science, and natural disaster assessment
  • Contributed to spectral analysis and EarthDaily's satellite tasking API using Capella and Maxar satellites and leveraged Sentinel satellite data
Jan 2023 - Apr 2023

Sr. Data Scientist

Richland, WA, US

Computer vision research focused on object detection with overhead and satellite imagery. Testing existing and developing new methods for detecting aircraft and other ground features of interest to the Department of Energy and Department of DefenseI was granted a Q-clearance (top-secret security clearance) from DOE.

May 2022 - Dec 2022

Sr. Principal Data Scientist

Eindhoven, North Brabant, NL

  • Led the Seattle data science team, advancing computer vision techniques for geospatial, mapping, and location products
  • Engineered and deployed to production, deep learning models to extract text and categorize building features using Street-Level images (SLI).
  • Deployed models were used to verify existing and discover new Places of Interest (POI) resulting in 30% increase in POI quality score for HERE's Places Data Store product
Jul 2012 - Feb 2022

Sr. Engineer, Software Apps

Bellevue, WA, US

Worked on the business logic and server-side team for managing and delivering digital content to customers.

Aug 2010 - Mar 2012

Scientist

Biosciences Group At Fujitsu Computer Systems
  • See http://www.fujitsu.com/global/services/solutions/tc/hpc/app/scigress/function/
  • Part of a team of Ph.D. computational scientists that designed and implemented the the Scigress molecular modeling and drug-design software.
  • Software technical lead for the development of novel algorithm and software technologies for the BioSciences group.
  • Developed new algorithms for drug discovery and de novo drug design including the FastDock™ Drug Docking Suite.
  • Inventor of the ShapeDock drug-protein docking search algorithm.
Sep 2004 - Sep 2010
2 education records

Mark Thompson education

Doctor Of Philosophy - Phd, Chemistry

University Of Florida

Bachelor Of Science - Bs, Biology

University Of Minnesota
FAQ

Frequently asked questions about Mark Thompson

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

What company does Mark Thompson work for?

Mark Thompson works for Vouched.

What is Mark Thompson's role at Vouched?

Mark Thompson is listed as Data Scientist, @Plunk, Ph.D., machine learning, computer vision, generative AI, LLMs at Vouched.

What is Mark Thompson's email address?

AeroLeads has found 1 work email signal at @pnnl.gov for Mark Thompson at Vouched.

Where is Mark Thompson based?

Mark Thompson is based in Seattle, Washington, United States while working with Vouched.

What companies has Mark Thompson worked for?

Mark Thompson has worked for Vouched, Plunk, Earthdaily Analytics, Pacific Northwest National Laboratory, and Here Technologies.

How can I contact Mark Thompson?

You can use AeroLeads to view verified contact signals for Mark Thompson at Vouched, including work email, phone, and LinkedIn data when available.

What schools did Mark Thompson attend?

Mark Thompson holds Doctor Of Philosophy - Phd, Chemistry from University Of Florida.

What skills is Mark Thompson known for?

Mark Thompson is listed with skills including Software Development, Software Engineering, Java, Software Design, C++, Enterprise Software, Web Applications, and Agile Methodologies.

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