Michelle is a technology leader that specializes in AI and machine learning and writes about AI in a more inclusive and accessible way.

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As the Senior Director for Applied Artificial Intelligence at her current company, Michelle specializes in machine learning and cloud computing and has 15 years of experience in technology consulting. Michelle serves on multiple advisory boards. She is passionate about diversity, STEM education/careers for our minority communities, and is an avid volunteer with Girls Who Code. She enjoys building teams dedicated to leveraging cutting-edge technologies and techniques (AI, Machine Learning, Cloud Platforms) to tackle some of the most difficult business and societal challenges.

Fun facts: speaks 6 languages, went to university at the age of 13, has played for the NY Phil, was a finalist for the Women in Technology Woman of the Year (Science) award, and enjoys fast cars and motorcycles.

She is open to:

  • Collaborations

  • Speaking engagements

Contact Michelle for more info.

Featured Portfolio

 

American Cancer Society

“Imagine how long it would take someone to look at these 1,700 images one by one. We wanted to be able to scale that work with machine learning.” Public references: Fast Company World Changing Ideas 2020 Finalist, AACR, Google Story, Slalom Story,

United Nations

Knowledge graphs are a mechanism for us to see and extract the complex relationships in our data. See how we used them to better identify key information from documents and then match funds to those who need them most while also mitigating risks inherent in language-based models. Public references: UN article, Technical article, Slalom story.

WABE “Closer Look with Rose Scott”

“It’s clear that the use of artificial intelligence in everyday life is on the rise. In fact, global spending on AI technologies is expected to reach over $52 billion by the year 2021, according to a 2018 report from the International Data Corporation. Companies are turning to AI to solve small and large scale problems including right here in Atlanta where a local data scientist is using machine learning to fight breast cancer.” Public reference: WABE link.