Mark Peot
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Mark Peot Email & Phone Number

Volunteer, Alpine Science Team at US Ski and Snowboard Team
Location: Asheville, North Carolina, United States 11 work roles 4 schools
1 work email found @teledyne.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@teledyne.com
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Current company
US Ski and Snowboard Team
Role
Volunteer, Alpine Science Team
Location
Asheville, North Carolina, United States
Company size
983 employees

Who is Mark Peot? Overview

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Quick answer

Mark Peot is listed as Volunteer, Alpine Science Team at US Ski and Snowboard Team, a with 983 employees, based in Asheville, North Carolina, United States. AeroLeads shows a work email signal at teledyne.com and a matched LinkedIn profile for Mark Peot.

Mark Peot previously worked as Principal, PEOT LLC at Defense Advanced Research Projects Agency (Darpa) and Volunteer at Us Ski And Snowboard Team. Mark Peot holds Ph.D., Engineering-Economic Systems from Stanford University.

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{first_initial}{last}@teledyne.com
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Profile bio

About Mark Peot

AI researcher with a passion for software development, math and physics. Interested in solving difficult problems involving considerable innovation and technology development. Current research interests include physics, deep learning & radar, deep learning & vision, Bayesian reasoning and tracking. In 1998, I founded Teledyne's Intelligent Systems Laboratory. While at the Intelligent Systems Laboratory, I was Principal Investigator for several amazing programs, including: * DARPA Competency-Aware Machine Learning * DARPA Target Recognition and Adaptation in Contested Environments * AFRL DL-SABERLooking for collaborators for government & commercial projects.

Listed skills include Artificial Intelligence, Algorithms, Image Processing, Signal Processing, and 35 others.

Current workplace

Mark Peot's current company

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US Ski and Snowboard Team
Us Ski And Snowboard Team
Volunteer, Alpine Science Team
Asheville, NC, US
Website
darpa.mil
Employees
983
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11 roles · 39 years

Mark Peot work experience

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

Volunteer, Alpine Science Team

Us Ski And Snowboard Team

Asheville, Nc, Us

Volunteer

Current
Us Ski And Snowboard Team
Oct 2023 - Present

Principal

Current
Peot Llc

Consultant on artificial intelligence including deep learning, planning, and Bayesian networks. Open source software developer.

Jun 2023 - Present

Teledyne Fellow

Teledyne Scientific & Imaging

Thousand Oaks, Ca, Us

Founder of Teledyne's Intelligent Systems Laboratory in Research Triangle Park, North Carolina.Leading research in deep learning algorithms (convolution neural networks) and computer vision. Principal Investigator for Teledyne's DARPA CAML (Competency-Aware Machine Learning) program.Principal Investigator for Teledyne's DARPA TRACE (Target Recognition and Adaption in Contested Environments) program (deep learning for synthetic aperture radar).Principal Investigator for Teledyne's DARPA RFMLS (RF Machine Learning Systems) program (deep learning for RF systems).Principal investigator for AFRL's DL-SABER (deep learning for polarimetric SAR)

Sep 2012 - Jun 2023

Principal Scientist

Teledyne Scientific & Imaging

Thousand Oaks, Ca, Us

Leading research programs in Information Sciences, including programs in robotics, neurotechnology, image processing, radar processing & simulation, special operations planning, simultaneous localization & mapping, and Bayesian inference.The Information Sciences division of Teledyne Scientific & Imaging wrote the autonomy software for Terramax, Team Oshkosh's entry into the DARPA Urban Challenge and one of only 11 finalists. We also wrote the planning algorithms for Terramax, finishing fifth in the DARPA Grand Challenge in 2005.Teledyne acquired Rockwell Scientific on 15 September 2006.

Sep 2006 - Aug 2012

Principal Scientist

Rockwell Scientific

Us

Lead several research programs in Information Sciences, including programs in computational neuroscience, robotics, radar processing, radar simulation, image processing, special operations planning, effects-based operations and Bayesian inference.

Sep 2003 - Sep 2006

Research Scientist

Rockwell International

Milwaukee, Wi, Us

Developed novel algorithms and software for Bayesian inference and AI planning.

1988 - 2000 ~12 yrs

Adjunct Assistant Professor

Duke University

Durham, North Carolina, Us

Assistant professor in the Institute for Statistics and Decision Sciences.

Jun 1998 - Jun 1999

Chief Scientist

Knowledge Industries

Knowledge Industries develops diagnostic software using Bayesian networks. We have developed diagnostic software for a number of commercial and medical applications, including automotive troubleshooting (www.identifix.com), fax/copier repair, pediatric illness (Microsoft Pregnancy and Childcare), jet turbine performance analysis, and computer network problems. I lead development of KI's line of diagnostic software products.

1991 - 1998 ~7 yrs

Consultant

Enter Software

Developed probabilistic mixture model software for tracking performance problems in turbine engines.

1996 - 1996
Team & coworkers

Colleagues at US Ski and Snowboard Team

Other employees you can reach at darpa.mil. View company contacts for 983 employees →

JC Justin Cohen Justin Cohen Colleague at Us Ski And Snowboard TeamWashington Dc-Baltimore Area, United States View → ES Edward Sulinski Edward Sulinski Colleague at Us Ski And Snowboard TeamAldie, Virginia, United States View → SC Ss Chauhan Ss Chauhan Colleague at Us Ski And Snowboard TeamWashim, India View → RS Robert Solo Robert Solo Colleague at Us Ski And Snowboard TeamPecos, Texas, United States View → TS Terry S. Terry S. Colleague at Us Ski And Snowboard TeamArlington, Virginia, United States View → RB Ramchandra Bishnoi Ramchandra Bishnoi Colleague at Us Ski And Snowboard TeamRajasthan, India View → MJ Michae Jamison Michae Jamison Colleague at Us Ski And Snowboard TeamAnniston, Alabama, United States View → PK Philip Kim Philip Kim Colleague at Us Ski And Snowboard TeamGreater Richmond Region, United States View → AM Ajay Maurya Ajay Maurya Colleague at Us Ski And Snowboard TeamNoida, Uttar Pradesh, India View → JA Joseph Altepeter Joseph Altepeter Colleague at Us Ski And Snowboard TeamArlington, Virginia, United States View →
4 education records

Mark Peot education

Ph.D., Engineering-Economic Systems

Stanford University

Ms, Engineering-Economic Systems

Stanford University

Graduate Sequence In Electromagnetism

Air Force Institute Of Technology-Graduate School Of Engineering & Management

Bs, Electrical Engineering And Computer Science

Massachusetts Institute Of Technology
FAQ

Frequently asked questions about Mark Peot

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

What company does Mark Peot work for?

Mark Peot works for US Ski and Snowboard Team.

What is Mark Peot's role at US Ski and Snowboard Team?

Mark Peot is listed as Volunteer, Alpine Science Team at US Ski and Snowboard Team.

What is Mark Peot's email address?

AeroLeads has found 1 work email signal at @teledyne.com for Mark Peot at US Ski and Snowboard Team.

Where is Mark Peot based?

Mark Peot is based in Asheville, North Carolina, United States while working with US Ski and Snowboard Team.

What companies has Mark Peot worked for?

Mark Peot has worked for Us Ski And Snowboard Team, Defense Advanced Research Projects Agency (Darpa), Peot Llc, Teledyne Scientific & Imaging, and Rockwell Scientific.

Who are Mark Peot's colleagues at US Ski and Snowboard Team?

Mark Peot's colleagues at US Ski and Snowboard Team include Justin Cohen, Edward Sulinski, Ss Chauhan, Robert Solo, and Terry S..

How can I contact Mark Peot?

You can use AeroLeads to view verified contact signals for Mark Peot at US Ski and Snowboard Team, including work email, phone, and LinkedIn data when available.

What schools did Mark Peot attend?

Mark Peot holds Ph.D., Engineering-Economic Systems from Stanford University.

What skills is Mark Peot known for?

Mark Peot is listed with skills including Artificial Intelligence, Algorithms, Image Processing, Signal Processing, Bayesian Statistics, Computer Science, Machine Learning, and Sensors.

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