Michael Capizzi

Principal Machine Learning Engineer (with NLP Focus) at Cohere Health

Michael Capizzi has a diverse work experience, primarily focused on machine learning and natural language processing (NLP). Their most recent role, starting in 2022, is at Cohere Health, where they lead a small team in building ML/NLP solutions for clinical partners. This involves utilizing medical ontologies through graph networks to develop a custom named entity recognition (NER) model. Michael also provides technical direction for NLP solutions.

Prior to their current role, Michael worked at Pearson from 2020 to 2022 as a Principal Machine Learning Engineer, specializing in NLP. Their responsibilities included leveraging various NLP solutions to automatically score human-written essays at scale and enhancing modeling solutions with state-of-the-art approaches such as automl and BERT. Michael also developed efficient processes for transitioning from research experiments to deliverables. Additionally, at Pearson, they previously held the position of Senior Machine Learning Engineer from 2020 to 2021.

Before their tenure at Pearson, Michael worked as a Data Scientist with an NLP focus at ThoughtTrace from 2019 to 2020. Michael also held advisory and engineering roles in the field of Natural Language Processing at PitchVantage from 2015 to 2019 and at Nextiva and Honcho (previously known as Whistler) from 2016 to 2019.

In their earlier career, Michael served as an Educational Consultant, focusing on the field of education, and worked as an Analyst Intern at NextMed. Michael also had a long-standing role as a High School Teacher at Amphitheater School District, where they were a National Board Certified teacher in high school English and also served as an AVID teacher and Academic Decathlon coach.

Overall, Michael Capizzi's work experience showcases their expertise in machine learning, NLP, and educational consulting, with a strong focus on developing innovative solutions and providing technical leadership.

Michael Capizzi earned a Bachelor of Arts (B.A.) degree in English and Philosophy with a minor in Secondary Education from Saint Joseph's University in the years 1996 to 2000. In 2014 to 2016, they pursued a Master of Science (MS) degree in Human Language Technology from the University of Arizona. Additionally, Michael obtained a National Board Certification from NBPTS in 2013.

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Previous companies

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Timeline

  • Principal Machine Learning Engineer (with NLP Focus)

    May, 2022 - present