Daniela Moody, Ph.D.

Daniela Moody, Ph.D. Email and Phone Number

Colorado Springs, CO, US
Daniela Moody, Ph.D.'s Location
Greater Colorado Springs Area, United States, United States
Daniela Moody, Ph.D.'s Contact Details

Daniela Moody, Ph.D. personal email

n/a
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.

Daniela Moody, Ph.D.'s Current Company Details
Forbes Technology Council

Forbes Technology Council

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Member
Colorado Springs, CO, US
Daniela Moody, Ph.D. Work Experience Details
  • Forbes Technology Council
    Member
    Forbes Technology Council
    Colorado Springs, Co, Us
  • Earthdaily Analytics
    Vp Of Technology, Insurance
    Earthdaily Analytics Oct 2024 - Present
    Vancouver, British Columbia, Ca
  • Descartes Labs
    Vp Of Technology, Insurance
    Descartes Labs Apr 2024 - Present
    New York City, Ny, Us
  • Forbes Technology Council
    Member
    Forbes Technology Council Jun 2019 - Present
    Boston, Ma, Us
  • Geosite
    Chief Technology Officer
    Geosite Oct 2022 - Apr 2024
    Palo Alto, Ca, Us
  • Arturo.Ai
    Vice President Of Artificial Intelligence
    Arturo.Ai Mar 2021 - Oct 2022
    Chicago, Illinois, Us
  • Ursa
    Chief Technology Officer
    Ursa Feb 2020 - Feb 2021
    Ithaca, Ny, Us
  • Ursa
    Vice President Of Engineering
    Ursa Mar 2019 - Feb 2020
    Ithaca, Ny, Us
  • Ursa
    Director Of Machine Learning Applications
    Ursa Jul 2018 - Mar 2019
    Ithaca, Ny, Us
  • Descartes Labs
    Staff Scientist
    Descartes Labs Sep 2015 - Jun 2018
    New York City, Ny, Us
  • Los Alamos National Laboratory
    Staff Scientist
    Los Alamos National Laboratory Oct 2014 - Sep 2015
    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
  • Los Alamos National Laboratory
    Postdoctoral Research Associate
    Los Alamos National Laboratory Jun 2012 - Oct 2014
    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).
  • Los Alamos National Laboratory
    Graduate Research Assistant
    Los Alamos National Laboratory Oct 2006 - Jun 2012
    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.
  • University Of Maryland
    Graduate Research Assistant
    University Of Maryland Jan 2003 - Aug 2006
    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).

Daniela Moody, Ph.D. Skills

Machine Learning Signal Processing Mathematical Modeling Matlab Image Processing Algorithms Numerical Analysis Science Pattern Recognition Latex Remote Sensing Scientific Computing Fortran Data Science Simulations Python Information Science

Daniela Moody, Ph.D. Education Details

  • University Of Maryland
    University Of Maryland
    Electrical And Computer Engineering
  • University Of Maryland
    University Of Maryland
    Electrical And Computer Engineering

Frequently Asked Questions about Daniela Moody, Ph.D.

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

Daniela Moody, Ph.D. works for Forbes Technology Council

What is Daniela Moody, Ph.D.'s role at the current company?

Daniela Moody, Ph.D.'s current role is Member.

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

Daniela Moody, Ph.D.'s email address is dm****@****turo.ai

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

Daniela Moody, Ph.D. attended University Of Maryland, University Of Maryland.

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

Daniela Moody, Ph.D. has skills like Machine Learning, Signal Processing, Mathematical Modeling, Matlab, Image Processing, Algorithms, Numerical Analysis, Science, Pattern Recognition, Latex, Remote Sensing, Scientific Computing.

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