Heather Couture, Phd
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Heather Couture, Phd Email & Phone Number

Fighting Cancer and Climate Change with AI • Consultant, Researcher, Writer & Host of Impact AI Podcast at Pixel Scientia Labs, LLC
Location: Raleigh, North Carolina, United States 13 work roles 3 schools
1 work email found @dunlop1.net LinkedIn matched
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Role
Fighting Cancer and Climate Change with AI • Consultant, Researcher, Writer & Host of Impact AI Podcast
Location
Raleigh, North Carolina, United States

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Heather Couture, Phd is listed as Fighting Cancer and Climate Change with AI • Consultant, Researcher, Writer & Host of Impact AI Podcast at Pixel Scientia Labs, LLC, based in Raleigh, North Carolina, United States. AeroLeads shows a work email signal at dunlop1.net and a matched LinkedIn profile for Heather Couture, Phd.

Heather Couture, Phd previously worked as Founder & Computer Vision Consultant at Pixel Scientia Labs, Llc and Computer Vision Insights at Pixel Scientia Labs, Llc. Heather Couture, Phd holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of North Carolina At Chapel Hill.

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About Heather Couture, Phd

Are you frustrated by the never ending cycle of machine learning experiments?• Do your models perform well on your training data but fail on images from a different source?• Does your team struggle to keep up with the rapidly advancing field?• Are you unsure whether you’re focusing on the best model types for your application?• Do you have data challenges like multispectral images, noisy labels, or small training sets?Get to market faster with less wasted time on unsuccessful approaches• Build robust and generalizable models• Stay up-to-date with the latest and greatest tools and techniques• Follow best practices for your unique data challenges• Develop unbiased models that produce the most valuable insightsI guide startups to reduce the trial-and-error of machine learning model development by:• Identifying sources of variation or domain shifts• Understanding prior work with a literature review• Validating early and often to reveal failure modesTo learn more:Consulting services: http://pixelscientia.comEmail: heather@pixelscientia.comImpact AI Podcast: https://pixelscientia.com/podcastComputer Vision Insights Newsletter: https://pixelscientia.com/newsletterAbout me:• 20 years’ experience in academia and industry• PhD in Computer Science• 15+ peer-reviewed publications including CVPR, NeurIPS, MICCAI, and NPJ Breast Cancer• 3 patents granted, 1 pending• Led WattTime’s ML efforts to estimate GHG emissions from sources on Earth using satellite imagery in support of their mission with Climate TRACE• Collaborated with a team at the University of North Carolina to study prognostic and predictive properties of breast tumors from H&E histology that can lead to improved treatment decisions; created a method to predict cancer biomarkers too complex for pathologists to see• Led Digitalsmiths’ (since acquired by TiVo) R&D team to create software for indexing and retrieval of movies and TV shows• Worked with the Mars Space Flight Facility at Arizona State University to detect rocks in high-resolution satellite imagery of Mars and create rock distribution maps for selecting a landing site for the Phoenix Lander• In the Robotics Institute at Carnegie Mellon University created new methods to detect, segment, and geologically classify rocks on Mars for autonomous science

Listed skills include Machine Learning, Algorithms, Computer Vision, Python, and 42 others.

Current workplace

Heather Couture, Phd's current company

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Pixel Scientia Labs, LLC
Pixel Scientia Labs, Llc
Fighting Cancer and Climate Change with AI • Consultant, Researcher, Writer & Host of Impact AI Podcast
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13 roles

Heather Couture, Phd work experience

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

Founder & Computer Vision Consultant

Current
  • Consultant to startups using computer vision and machine learning.How I reduce the trial-and-error of machine learning development:
  • Facilitate knowledge sharing amongst stakeholders, domain experts, and engineers
  • Guide machine learning engineers to the most effective models and experiments
  • Handle the challenges of real world data
  • Follow industry best practices
  • Create a clear project roadmap
Oct 2012 - Present

Computer Vision Insights

Current

A newsletter to bring the latest machine learning and computer vision research to applications in people and planetary health.

Feb 2021 - Present

Podcast Host

Current

Learn how to build a mission-driven machine learning company from the innovators and entrepreneurs who are leading the way. A weekly show about the intersection of ML and business – particularly startups. We discuss the challenges and best practices for working with data, mitigating bias, dealing with regulatory processes, collaborating across disciplines.

Oct 2022 - Present

Research Assistant

Chapel Hill, NC, US

  • Created a hierarchical task-driven dictionary learning method for classifying H&E images (published at ISBI).
  • Developed a method to predict molecular tumor biomarkers from H&E - properties that are too complex for a pathologist to assess visually (published in NPJ Breast Cancer, patent pending).
  • Created a weakly supervised deep learning method to improve classification of heterogeneous tumors and provide insight into where the heterogeneity lies (published at MICCAI).
  • Integrated imaging and genomic data during training to improve classification when only one modality is available; created a new deep learning method that also improves state-of-the-art on benchmark multimodal data.
  • Worked on a deep learning method to predict cancer recurrence from histology.
Aug 2012 - Dec 2018

Image Computational Engineer

Digitalsmiths
  • Research and development of image/video indexing and retrieval using computer vision and machine learning techniques.
  • Evaluated new tools, prototyped algorithms, implemented product components.
  • Created metrics to quantify different aspects of an algorithm’s performance.
  • Collaborated with engineering teams to aid delivery of algorithms into production systems.
  • Communicate methods and results to management.
  • Projects included: – Scene classification of images and video (e.g., beach, forest, urban) - published at CVPR workshop, 3 patents granted – Face detection, tracking, and grouping – Shot and scene boundary detection –.
Apr 2007 - Aug 2012

Research Technician

Tempe, AZ, US

  • Research and development of methods for the detection and size estimation of craters in thermal satellite images of Mars.
  • Developed a system to detect rocks in high-resolution Mars satellite imagery and created rock distribution maps for selecting a landing site for the Phoenix Lander.
Oct 2006 - Feb 2007

Research Assistant

Pittsburgh, PA, US

  • Research, analysis, and development of methods for autonomous science.
  • Automatic detection and classification of rocks: detection of rocks with an accurately delineated boundary (published at CVPR), characterization of rock shape, geologic classification with color, texture, and shape.
Jan 2006 - Aug 2006

Software Developer/Tester

Burlington, Ontario, CA

  • Development in a team on applications for Ident code verification and printed graphics inspection of optical discs.
  • Application testing, debugging, documentation.
May 2004 - Aug 2004

Software Developer

Discreet Logic
  • C++ development in a Unix environment on a high-performance visual effects package.
  • Integrated 3-D lookup table functionality into Flame.
Sep 2003 - Dec 2003

Machine Vision Programmer

Agris-Schoen Vision Systems
  • Assisted in software design process and wrote functional specifications.
  • Developed object-oriented software modules from design/functional specifications.
  • Evaluated signature matching algorithms.
  • Implemented machine vision feasibility studies on client samples sent for evaluation.
Sep 2002 - Apr 2003

Software Developer

US

  • Member of the Product Development Group for StudioTools, a 3-D graphics package for the design and styling of automotive and industrial products.
  • Developed C++ and Perl tools to largely automate the renovation of a large codebase.
Jan 2002 - Apr 2002

Software Developer

Palo Alto, CA, US

  • Worked in a team to develop client-specific user interfaces for a web-based e-learning management system; coded in Java, JavaScript, JSP and HTML.
May 2001 - Aug 2001

Programmer

Ibm

Armonk, New York, NY, US

  • “Editor-in-chief” of the Frequently Asked Questions database for VisualAge for C++.
  • Worked with the Build, Install and Packaging team for VisualAge for Java.
Aug 1999 - Aug 1999
3 education records

Heather Couture, Phd education

Doctor Of Philosophy (Ph.D.), Computer Science

University Of North Carolina At Chapel Hill

Master Of Science, Robotics

Carnegie Mellon University

Bachelor Of Math, Computer Science

University Of Waterloo
FAQ

Frequently asked questions about Heather Couture, Phd

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

What company does Heather Couture, Phd work for?

Heather Couture, Phd works for Pixel Scientia Labs, LLC.

What is Heather Couture, Phd's role at Pixel Scientia Labs, LLC?

Heather Couture, Phd is listed as Fighting Cancer and Climate Change with AI • Consultant, Researcher, Writer & Host of Impact AI Podcast at Pixel Scientia Labs, LLC.

What is Heather Couture, Phd's email address?

AeroLeads has found 1 work email signal at @dunlop1.net for Heather Couture, Phd at Pixel Scientia Labs, LLC.

Where is Heather Couture, Phd based?

Heather Couture, Phd is based in Raleigh, North Carolina, United States while working with Pixel Scientia Labs, LLC.

What companies has Heather Couture, Phd worked for?

Heather Couture, Phd has worked for Pixel Scientia Labs, Llc, University Of North Carolina At Chapel Hill, Digitalsmiths, Mars Space Flight Facility, Arizona State University, and Robotics Institute, Carnegie Mellon University.

How can I contact Heather Couture, Phd?

You can use AeroLeads to view verified contact signals for Heather Couture, Phd at Pixel Scientia Labs, LLC, including work email, phone, and LinkedIn data when available.

What schools did Heather Couture, Phd attend?

Heather Couture, Phd holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of North Carolina At Chapel Hill.

What skills is Heather Couture, Phd known for?

Heather Couture, Phd is listed with skills including Machine Learning, Algorithms, Computer Vision, Python, Matlab, C++, Machine Vision, and Image Processing.

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