AeroLeads people directory · profile

Thomas Boggs Email & Phone Number

Chief AI Engineer, Leidos AI Accelerator at Leidos
Location: Washington Dc-Baltimore Area, United States 11 work roles 5 schools
1 work email found @leidos.com 5 phones found area 434, 540, 571, and 855 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 5 phones

Work email t****@leidos.com
Direct phone (434) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Chief AI Engineer, Leidos AI Accelerator
Location
Washington Dc-Baltimore Area, United States
Company size

Who is Thomas Boggs? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Thomas Boggs is listed as Chief AI Engineer, Leidos AI Accelerator at Leidos, a with 35622 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at leidos.com, phone signal with area code 434, 540, 571, 855, and a matched LinkedIn profile for Thomas Boggs.

Thomas Boggs previously worked as Senior Machine Learning Researcher at Leidos and Senior Machine Learning Researcher at Leidos. Thomas Boggs holds Doctor Of Philosophy - Phd, Computational Sciences & Informatics from George Mason University.

Company email context

Email format at Leidos

This section adds company-level context without repeating Thomas Boggs's masked contact details.

{first}.{last}@leidos.com
89% confidence

AeroLeads found 1 current-domain work email signal for Thomas Boggs. Compare company email patterns before reaching out.

Profile bio

About Thomas Boggs

My primary areas of expertise are AI/ML, multispectral/hyperspectral (MSI/HSI) image processing, software development, and modeling & simulation. As the Chief AI Engineer in the Leidos AI Accelerator, I lead multiple R&D projects within a group of 60+ talented AI/ML professionals. My AI/ML research experience covers a broad range of AI/ML domains (e.g., CNNs, Deep Reinforcement Learning, Graph Learning) and application domains (e.g., Remote Sensing, Multimedia Search & Discovery, Non-Intrusive Inspection (NII) for Border Security). In addition to R&D, much of my work focuses on MLOps and tools, processes, and practices to enable trustworthy AI/ML systems in operational environments.

Listed skills include Radar, Simulations, Python, System Design, and 22 others.

Current workplace

Thomas Boggs's current company

Company context helps verify the profile and gives searchers a useful next step.

Leidos
Leidos
Chief AI Engineer, Leidos AI Accelerator
Washington, DC, US
Website
Employees
35622
AeroLeads page
11 roles · 32 years

Thomas Boggs work experience

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

Chief Ai Engineer, Leidos Ai Accelerator

Washington, Dc, Us

Senior Machine Learning Researcher

Washington, Dc, Us

Chief Ai Engineer, Leidos Ai Accelerator

Reston, Virginia, Us

Technical Fellow and Solution Architect leading multiple AI/ML R&D portfolios and operationalizing AI/ML capabilities

Senior Machine Learning Researcher

Reston, Virginia, Us

My primary professional responsibilities are development, adaptation, and integration of Machine Learning capabilities in a large-scale data analytics platform, with an emphasis on Deep Learning for image processing.

Jul 2016 - Jan 2021

Senior Systems Engineer

Developed an image processing workflow management software framework for processing commercial satellite multispectral imagery (MSI). Implemented framework components for imagery transfer/ingest, image archival (PostGIS), a rules-based system (Python, CLIPS) for image processing pipeline selection, and data product post-processing. Provided image processing and machine learning subject matter expertise for design/selection of algorithms for image processing pipelines. Implemented the framework on high-performance computing (HPC) systems.Geospatial Intelligence (GEOINT) Integrated Process Team (IPT) Lead for the Distributed Common Ground System.

Jun 2008 - Jul 2016

Technical Director, Analysis & Simulation

200 Applied Parkway, University Park, Il, Us

Signatures and Modeling & Simulation subject matter expert.

Oct 2006 - Jun 2008

Senior Scientist

Mantech Is&T

See Symmetron (purchased by ManTech).

2005 - 2006 ~1 yr

Senior Scientist

Us

See Symmetron (purchased by Gray Hawk).

2004 - 2006 ~2 yrs

Senior Scientist

Symmetron

System Architect, Lead Developer, and Project Manager of Kill Chain, a large M&S framework (>500K SLOC of C/C++, Python, Soar AI) for simulating complex warfare scenarios including platforms, systems, weapons, sensors, signatures, environment, and command & control (C2). Designed and implemented core simulation architecture. Responsibilities included requirements development, system design, software implementation, and project management.Performed tecnical analyses of combat systems and capabilities. Developed system-level modeling requirements and measures of effectiveness. Generated and analyzed simulation data, authored analysis reports, and briefed Navy customers.Supported various aspects of business development. Performed feasibility studies, developed cost estimates, proposals, and SOWs. Briefed commercial, government, and Navy commands.

2002 - 2006 ~4 yrs

Senior Engineer

Metratek

Developed software for an airborne wideband interferometric synthetic aperture radar (InSAR) including hardware control, graphical user interface (GUI), digital signal processing (DSP), and SAR image processing. Implemented radar control software in C++ to provide control interface to system hardware including inertial motion unit (IMU), frequency synthesizer, and custom radar components. Using VisualDSP++, developed software for embedded SHARC DSP hardware to perform data collection, signal processing, and to interface RAID controllers. Developed logic for Xilinx FPGAs to generate radar timing signals. Developed post-processing software to generate SAR and InSAR imagery from measurement data.Debugged prototype radar systems. Used oscilloscopes, frequency analyzers, and instrumented software to identify radar design flaws, software bugs, and hardware faults.Collected, processed, and analyzed airborne InSAR data.

2000 - 2002 ~2 yrs

Engineer

Symmetron, Inc.

Performed radar cross section (RCS) modeling and analysis for naval systems using RCS modeling software (RTS, Xpatch, RGCALC) and developed associated custom software (Python, C++). Developed radar measurement simulation software (C++) to include the effects of environmental factors on RCS measurements.

1995 - 2000 ~5 yrs
Team & coworkers

Colleagues at Leidos

Other employees you can reach at leidos.com. View company contacts for 35622 employees →

5 education records

Thomas Boggs education

Doctor Of Philosophy - Phd, Computational Sciences & Informatics

George Mason University

Master Of Science - Ms, Applied Physics

George Mason University

Master Of Science - Ms, Civil Engineering

Virginia Tech

Bachelor Of Arts - Ba, Philosophy

Virginia Tech

Bachelor Of Science (Bs), Physics

Virginia Tech
FAQ

Frequently asked questions about Thomas Boggs

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

What company does Thomas Boggs work for?

Thomas Boggs works for Leidos.

What is Thomas Boggs's role at Leidos?

Thomas Boggs is listed as Chief AI Engineer, Leidos AI Accelerator at Leidos.

What is Thomas Boggs's email address?

AeroLeads has found 1 work email signal at @leidos.com for Thomas Boggs at Leidos.

What is Thomas Boggs's phone number?

AeroLeads has found 5 phone signal(s) with area code 434, 540, 571, 855 for Thomas Boggs at Leidos.

Where is Thomas Boggs based?

Thomas Boggs is based in Washington Dc-Baltimore Area, United States while working with Leidos.

What companies has Thomas Boggs worked for?

Thomas Boggs has worked for Leidos, Scitor Corporation, Applied Systems Research, Inc., Mantech Is&T, and Gray Hawk Systems.

Who are Thomas Boggs's colleagues at Leidos?

Thomas Boggs's colleagues at Leidos include Brett Parker, Brewster Tammie, Sanjiv Bastola, Katie Epley, and Don Smith.

How can I contact Thomas Boggs?

You can use AeroLeads to view verified contact signals for Thomas Boggs at Leidos, including work email, phone, and LinkedIn data when available.

What schools did Thomas Boggs attend?

Thomas Boggs holds Doctor Of Philosophy - Phd, Computational Sciences & Informatics from George Mason University.

What skills is Thomas Boggs known for?

Thomas Boggs is listed with skills including Radar, Simulations, Python, System Design, Requirements Management, Systems Engineering, Integration, and System Architecture.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.