Daniela Moody, Ph.D.
AeroLeads people directory · profile

Daniela Moody, Ph.D. Email & Phone Number

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

Contact Signals · 1 work email

Work email d****@geosite.io
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Parallax Advanced Research
Role
Chief Product and Capabilities Officer
Location
Greater Colorado Springs Area, United States
Company size
183 employees

Who is Daniela Moody, Ph.D.? Overview

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

Quick answer

Daniela Moody, Ph.D. is listed as Chief Product and Capabilities Officer at Parallax Advanced Research, a with 183 employees, based in Greater Colorado Springs Area, 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.

Company email context

Email format at Parallax Advanced Research

This section adds company-level context without repeating Daniela Moody, Ph.D.'s masked contact details.

{first}@geosite.io
86% confidence

AeroLeads found 1 current-domain work email signal for Daniela Moody, Ph.D.. Compare company email patterns before reaching out.

View email format View company profile Management contacts
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

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

Parallax Advanced Research
Parallax Advanced Research
Chief Product and Capabilities Officer
Colorado Springs, CO, US
Website
parallaxresearch.org
Employees
183
AeroLeads page
Company profile
View company profile Email format
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 processing, machine learning, and compressive sensing techniques for the specific purpose of optimal and automatic signature discrimination and knowledge generation - Algorithm development, optimization, and automation for big data analysis

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, cluttered environments with dynamic, poorly characterized backgrounds.- Implemented array signal processing and spectral estimation algorithms for sub-wavelength localization and classification of discharging circuit components.

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 →

RS Rufus Smith Rufus Smith Colleague at Parallax Advanced ResearchWesterville, Ohio, United States View → SC Sue Cumbers Sue Cumbers Colleague at Parallax Advanced ResearchCincinnati, Ohio, United States View → PD Paul Dungan Paul Dungan Colleague at Parallax Advanced ResearchUnited States View → CW Christopher W. Christopher W. Colleague at Parallax Advanced ResearchAkron, Ohio, United States View → MB Mike Beatty Mike Beatty Colleague at Parallax Advanced ResearchBrookville, Ohio, United States View → EC Erica Curtis Erica Curtis Colleague at Parallax Advanced ResearchDayton Metropolitan Area, United States View → BT Benjamin T. W. Benjamin T. W. Colleague at Parallax Advanced ResearchRaleigh, North Carolina, United States View → TR Tyrus Rodewald Tyrus Rodewald Colleague at Parallax Advanced ResearchDayton, Ohio, United States View → JH Joy Harris Joy Harris Colleague at Parallax Advanced ResearchDayton, Ohio, United States View → BT Brendan Thoreson Brendan Thoreson Colleague at Parallax Advanced ResearchPittsburgh, Pennsylvania, 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 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 Rufus Smith, Sue Cumbers, Paul Dungan, Christopher W., and Mike Beatty.

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.

Find 750M verified contacts

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