Varun Nair
About Varun Nair
Varun Nair is a Research Engineer currently employed at Harvey in San Francisco, California. He has a diverse background in machine learning and data science, with experience at various organizations, including Duke University and Curai Health.
Work at Harvey
Varun Nair has been employed as a Research Engineer at Harvey since 2024. His role involves applying his expertise in machine learning research and development. He is based in San Francisco, California, where he contributes to various projects aimed at advancing the company's technological capabilities.
Education and Expertise
Varun Nair studied at Duke University, where he earned a Bachelor of Science in Computer Science from 2017 to 2021. He also attended Guilford College from 2015 to 2017. His educational background is complemented by significant research experience in machine learning and data science, including internships and research positions at various institutions.
Background
Varun Nair has a diverse professional background that includes roles in research and product management. He co-founded Zogo, Inc. in 2018, where he served as Product Manager. He has also held multiple internships and research positions at organizations such as Curai Health, Duke University Health System, and Uizard Technologies, gaining valuable experience in machine learning and data analytics.
Achievements
Varun Nair has contributed to published work in renowned conferences, including NeurIPS, NAACL, ACL, and ML4H. He has conducted research under the guidance of notable mentors and has been involved in various machine learning initiatives, including his role as a co-founder of the Duke Applied Machine Learning Group.
Research Experience
Varun Nair has extensive research experience in machine learning and data science. He has worked as a Research Assistant at the University of North Carolina at Chapel Hill and has held multiple positions at Duke University, including Research Fellow in the Energy Data Analytics Lab. His work has focused on applying machine learning techniques to real-world problems.