Thomas Culp

Thomas Culp is a highly skilled machine learning researcher and data scientist with a solid educational background in theoretical physics and mathematics.

He studied for his Bachelors degree in Physics and Mathematics at Harvard University, showcasing his dedication to academic excellence.

Thomas has gained valuable professional experience as a Data Scientist at Klaviyo, where he demonstrates his expertise in utilizing data to derive insights and create value.

Prior to his role at Klaviyo, he served as an Associate Data Scientist at Day Zero Diagnostics, Inc, honing his data analysis and problem-solving skills in a different industry setting.

His academic journey includes positions as a Course Assistant and Teaching Fellow at Harvard University, where he shared his knowledge and passion for data science with students.

Additionally, Thomas has contributed as a Research Assistant at Harvard University, engaging in cutting-edge research and further expanding his expertise in the field.

With a diverse background spanning academia and industry, Thomas Culp is equipped with the skills and experience to excel in the field of machine learning, data science, and research.