Daniela Moody, Ph.D.
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Daniela Moody, Ph.D. Email & Phone Number

Chief Product and Capabilities Officer at Parallax Advanced Research
Location: Greater Colorado Springs Area, United States, United States 15 work roles 2 schools
1 work email found @geosite.io LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Parallax Advanced Research
Role
Chief Product and Capabilities Officer
Location
Greater Colorado Springs Area, United States, United States
Company size
183 employees

Who is Daniela Moody, Ph.D.? Overview

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Quick answer

Daniela Moody, Ph.D. is listed as Chief Product and Capabilities Officer at Parallax Advanced Research, a company with 183 employees, based in Greater Colorado Springs Area, United States, United States. AeroLeads shows a work email signal at geosite.io and a matched LinkedIn profile for Daniela Moody, Ph.D..

Daniela Moody, Ph.D. previously worked as Member at Forbes Technology Council and VP of Technology, Insurance at Earthdaily Analytics. Daniela Moody, Ph.D. holds Doctor Of Philosophy (Phd), Electrical And Computer Engineering from University Of Maryland.

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Email format at Parallax Advanced Research

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{first}@geosite.io
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Profile bio

About Daniela Moody, Ph.D.

Strategic thinker and problem solver with a passion for driving innovation and unlocking technology potential. Strong believer in team behavior optimization with a non-conformist and intuitive leadership style. 15+ years of experience designing advanced algorithms and analytic solutions to derive business intelligence from fused multimodal remote sensed data. Specialties: machine learning; feature extraction; sparse methods; image, video, and signal processing; remote sensing; computer vision; modeling; satellite data analysis; target detection and classification; statistical inference and analysis.

Listed skills include Machine Learning, Signal Processing, Mathematical Modeling, Matlab, and 13 others.

Current workplace

Daniela Moody, Ph.D.'s current company

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Parallax Advanced Research
Parallax Advanced Research
Chief Product and Capabilities Officer
Colorado Springs, CO, US
Website
parallaxresearch.org
Employees
183
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15 roles

Daniela Moody, Ph.D. work experience

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

Vp Of Technology, Insurance

Current
Earthdaily Analytics

Vancouver, British Columbia, CA

Oct 2024 - Present

Vp Of Technology, Insurance

Current
Descartes Labs

New York City, NY, US

Apr 2024 - Present

Chief Technology Officer

Geosite

Palo Alto, CA, US

Oct 2022 - Apr 2024

Vice President Of Artificial Intelligence

Arturo.Ai

Chicago, Illinois, US

Mar 2021 - Oct 2022

Chief Technology Officer

Ursa

Ithaca, NY, US

Feb 2020 - Feb 2021

Vice President Of Engineering

Ursa

Ithaca, NY, US

Mar 2019 - Feb 2020

Director Of Machine Learning Applications

Ursa

Ithaca, NY, US

Jul 2018 - Mar 2019

Staff Scientist

Descartes Labs

New York City, NY, US

Sep 2015 - Jun 2018

Staff Scientist

Los Alamos National Laboratory

Los Alamos, NM, US

My current focus areas are:- Data adaptive algorithms for signal and image processing, feature extraction, classification, and data exploitation across a variety of applications and sensor data (on-orbit RF, ground RF, multispectral imagery, astrophysics, RGB images, video)- Novel processing methods for SIGINT, IMINT, and Multi-INT, fusing sparse.

Oct 2014 - Sep 2015

Postdoctoral Research Associate

Los Alamos National Laboratory

Los Alamos, NM, US

- Developed and implemented sparse and adaptive algorithms for satellite-sensed RF lightning data exploitation, processing, conditioning, and feature extraction.- Extended adaptive and sparse machine learned algorithms to new sensor data for exploitation, processing, and signal characterization (e.g., climate change detection & monitoring, astrophysics).

Jun 2012 - Oct 2014

Graduate Research Assistant

Los Alamos National Laboratory

Los Alamos, NM, US

- Developed deep learning algorithms for feature extraction from scientific image data (e.g., imaging surveys).- Designed and implemented approach for unsupervised wide area land cover classification in high resolution multispectral satellite imagery using sparse approximations.- Developed algorithms for nonstationary RF target detection in noisy.

Oct 2006 - Jun 2012

Graduate Research Assistant

University Of Maryland

College Park, MD, US

Graduate Assistant to the Dean of A. James Clark School of Engineering: designed and analyzed statistical surveys for all engineering departments to asses quality of teaching & research, and to generate national graduate education reports (e.g., US News).

Jan 2003 - Aug 2006
Team & coworkers

Colleagues at Parallax Advanced Research

Other employees you can reach at parallaxresearch.org. View company contacts for 183 employees →

BA Barbara Acker-Mills, Phd, Mm Barbara Acker-Mills, Phd, Mm Colleague at Parallax Advanced ResearchDayton, Ohio, United States, United States View → VG Viktoria Greanya Viktoria Greanya Colleague at Parallax Advanced ResearchDayton, Ohio, United States, United States View → TM Timothy Mccartney Timothy Mccartney Colleague at Parallax Advanced ResearchUnited States, United States View → NC Nicole Cantrell Nicole Cantrell Colleague at Parallax Advanced ResearchDayton, Ohio, United States, United States View → BS Bryan Schmitt Bryan Schmitt Colleague at Parallax Advanced ResearchDayton Metropolitan Area, United States View → DM Donald Mathews Donald Mathews Colleague at Parallax Advanced ResearchDayton Metropolitan Area, United States View → DW Diana Whatmough Diana Whatmough Colleague at Parallax Advanced ResearchJohnstown, Ohio, United States, United States View → MA Michael Agnew, Mba Michael Agnew, Mba Colleague at Parallax Advanced ResearchHuntsville-Decatur-Albertville Area, United States View → RS Rufus Smith Rufus Smith Colleague at Parallax Advanced ResearchWesterville, Ohio, United States, United States View → MM Matthew Molineaux Matthew Molineaux Colleague at Parallax Advanced ResearchSpringfield, Virginia, United States, United States View →
2 education records

Daniela Moody, Ph.D. education

Doctor Of Philosophy (Phd), Electrical And Computer Engineering

University Of Maryland

Master'S Degree, Electrical And Computer Engineering

University Of Maryland
FAQ

Frequently asked questions about Daniela Moody, Ph.D.

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

What company does Daniela Moody, Ph.D. work for?

Daniela Moody, Ph.D. works for Parallax Advanced Research.

What is Daniela Moody, Ph.D.'s role at Parallax Advanced Research?

Daniela Moody, Ph.D. is listed as Chief Product and Capabilities Officer at Parallax Advanced Research.

What is Daniela Moody, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @geosite.io for Daniela Moody, Ph.D. at Parallax Advanced Research.

Where is Daniela Moody, Ph.D. based?

Daniela Moody, Ph.D. is based in Greater Colorado Springs Area, United States, United States while working with Parallax Advanced Research.

What companies has Daniela Moody, Ph.D. worked for?

Daniela Moody, Ph.D. has worked for Parallax Advanced Research, Forbes Technology Council, Earthdaily Analytics, Descartes Labs, and Geosite.

Who are Daniela Moody, Ph.D.'s colleagues at Parallax Advanced Research?

Daniela Moody, Ph.D.'s colleagues at Parallax Advanced Research include Barbara Acker-Mills, Phd, Mm, Viktoria Greanya, Timothy Mccartney, Nicole Cantrell, and Bryan Schmitt.

How can I contact Daniela Moody, Ph.D.?

You can use AeroLeads to view verified contact signals for Daniela Moody, Ph.D. at Parallax Advanced Research, including work email, phone, and LinkedIn data when available.

What schools did Daniela Moody, Ph.D. attend?

Daniela Moody, Ph.D. holds Doctor Of Philosophy (Phd), Electrical And Computer Engineering from University Of Maryland.

What skills is Daniela Moody, Ph.D. known for?

Daniela Moody, Ph.D. is listed with skills including Machine Learning, Signal Processing, Mathematical Modeling, Matlab, Image Processing, Algorithms, Numerical Analysis, and Science.

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