David Fox
About David Fox
David Fox is a Data Scientist at Cogitativo, where he has worked since 2020, specializing in natural language processing and machine learning for healthcare solutions. He holds a PhD in Physics from Harvard University and has extensive experience in the field, including previous roles at Nuance Communications and OrderBoard, Inc.
Work at Cogitativo
David Fox has been employed as a Data Scientist at Cogitativo since 2020. He works remotely from the Greater Boston area. In his role, he applies machine learning, natural language processing, and artificial intelligence techniques to develop practical solutions in healthcare. His work involves utilizing statistical and rule-based methods for analyzing natural language text and speech. He focuses on improving communication and collaboration with clients and teams, aiming to understand the broader context of healthcare data science.
Previous Experience in Data Science
Before joining Cogitativo, David Fox served as a Senior Data Science Advisor at OrderBoard, Inc. for eight months in 2019 to 2020. His earlier experience includes multiple roles at Nuance Communications, where he worked as a Principal Speech Scientist from 2011 to 2012, a Senior Speech Scientist from 2004 to 2011, and an NLP Research Engineer from 2012 to 2013. His extensive background in data science and natural language processing has contributed to his expertise in the field.
Education and Expertise
David Fox holds a Doctor of Philosophy (PhD) in Physics from Harvard University, which he completed from 1992 to 2001. He also earned a Master of Arts (MA) in Physics from Harvard University between 1992 and 1994. Earlier, he obtained a Bachelor of Arts (BA) in Physics from Princeton University from 1987 to 1991. His academic background provides a strong foundation for his work in data science, particularly in the application of statistical methods and machine learning.
Contributions to Healthcare Data Science
David Fox has developed COVID-19 risk models as part of his data science consulting work in healthcare. His contributions focus on applying advanced techniques in machine learning and natural language processing to address practical challenges in the healthcare sector. He emphasizes the importance of understanding the big picture and developing a vision for the future of healthcare data science, which aligns with his commitment to improving communication and collaboration within teams and with clients.