Devi Ramanan
About Devi Ramanan
Devi Ramanan serves as the Vice President of Data Science at Clover Health and has extensive experience in data science, machine learning, and analytics across various organizations. He has held advisory roles at multiple companies and has contributed to significant research in artificial intelligence and health data management.
Work at Clover Health
Devi Ramanan serves as the Vice President of Data Science, focusing on Machine Learning, Analytics, Data Engineering, and Clinical Data Management at Clover Health. She has held this position since 2022, contributing to the company's mission of improving healthcare through innovative data solutions. Her role involves leveraging advanced data analytics and machine learning techniques to enhance clinical outcomes and operational efficiency.
Current Advisory Roles
Devi Ramanan is actively involved in several advisory roles. She has been a member of the Advisory Board at data.world since 2016, providing insights into data management and analytics. Additionally, she has served on the Advisory Board for GenoTwin Inc. since 2020 and for NeoLight since 2018. Her advisory contributions extend to Altoida, Inc. since 2018 and Carbon Health since 2022, where she offers expertise in data science and analytics.
Professional Background
Devi Ramanan has a diverse professional background in data science and healthcare. She co-founded MiraiHealth.ai and served as CEO for one year. Prior to her current roles, she worked at Accenture as Managing Director in Health, Life Sciences, and Devices, and held senior positions at InVitae and Genentech. Her experience spans various roles in product management, customer success, and programming, showcasing her extensive knowledge in the intersection of technology and healthcare.
Education and Expertise
Devi Ramanan holds multiple degrees, including a Bachelor of Science in Electrical Engineering and Physical Chemistry from the Rochester Institute of Technology, and a Master of Business Administration from The Wharton School, where she double majored in Health and Financial Engineering. She also pursued a Master of Science in Brain and Cognitive Science at The Johns Hopkins University and began a PhD program with a full university fellowship. Her educational background supports her expertise in data science and analytics.
Research Contributions
Devi Ramanan has contributed to significant research initiatives in the field of data science and healthcare. She has published articles on the application of artificial intelligence in identifying genetic signatures for severe asthma and has participated in research at Stanford using topological data analysis for disease prediction. Her work includes identifying type 2 diabetes subgroups and exploring the shape of the genome, demonstrating her commitment to advancing scientific understanding through innovative data analysis.