Services

Advisory Packages


Founder

Tech Lead

Team

Key results
  • Knowledge of opportunities and challenges related to machine learning for image analysis
  • Innovative computer vision ideas for your company
  • Clear priorities for your ML team
  • Accelerated model development
  • Increased likelihood of success
  • Reduced project risk
  • Confidence as you build your team and ML capabilities
  • Get to market faster
Strategy call with stakeholders, domain experts, and ML team Monthly Monthly Monthly
Private Slack channel to ask questions and get feedback (guaranteed response within 1 business day, though 2-4 hours is more typical) For founder only For founder and technical lead For all team members
Office hours for technical team to answer questions and guide next steps - Biweekly Weekly
Modeling roadmap for each new project to guide the approach and provide relevant articles, datasets, and code; developed for one project at a time over a few months - Included Included
Documents reviewed in preparation for submission (slide decks, articles, grant proposals, patent applications, etc.) - - Included
Screening and interviews for potential CV/ML team members - - Included

Schedule a free Machine Learning Discovery Call to discuss which service is best for you

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Frequently Asked Questions

Don’t Outsource…
Insource - and Empower Your Team

While machine learning certainly can bring new insights, precision, and efficiency, it takes time to build the technology to do it. And the path to a successful solution is generally not linear.

Many companies outsource machine learning projects. While this can be successful for well-defined applications with a limited scope, high impact projects are different. These projects are often part of a company’s core technology, so they prefer to keep the intellectual property development in house. But they may not have navigated the unique complexities of a machine learning project before. I can help you build the technology and your team in house, ensuring a smoother path to success.

My goal is not just to get you to an ideal solution but to ensure your team also understands how it works so that they can modify it and adapt to new challenges that arise. I will be there to help you navigate these obstacles as needed, but I consider my role most successful if I have transferred this knowledge to your team.

Our team was fortunate to work with Heather on a short-term project, where she was a critical contributor to establishing a framework for future studies.

client

Keith Wharton Ultivue, VP Medical Director

Working with Heather and Pixel Scientia Labs was a great choice for us because of her extensive experience in cancer detection, imaging, and machine learning. Based on this background and expertise, she was able to support the team as we worked to empower our imaging solutions through AI and machine learning.

client

Alan Kersey, CytoVeris, President & CEO

Heather’s knowledge of the current state of the art within the digital pathology field is second to none. Discussions of prior art enabled our team to focus on novel research and refine our current AI methodologies for clinical research.

client

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Build an Interdisciplinary Team

I’ve worked with teams spanning many different disciplines and the best results tend to come from a combination of

  • Pathologists, remote sensing scientists, or other domain experts who understand the data and how it is collected,
  • Data engineers who gather and organize it,
  • Machine learning engineers who train and analyze models, and
  • Software engineers who bring all the pieces together and create a robust system.

Due to the interdisciplinary nature of teams, communication is key.

I can help you in building this team. We start by setting reasonable goals for the project and determine the resources needed. From initial models, I then assess possible next steps including gathering and labeling more data, cleaning data, extending models, and improving computational efficiency. More resources (human or computer) may be needed as the project progresses.

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