Chintan Dalal
About Chintan Dalal
Chintan Dalal is a Senior Data Scientist currently employed at Socially Determined, with a diverse background in data science and engineering across various institutions and companies.
Current Role at Socially Determined
Chintan Dalal serves as a Senior Data Scientist at Socially Determined, a position he has held since 2022. In this role, he applies his expertise in data science to analyze health-related data and contribute to the company's mission of improving health outcomes. His work focuses on leveraging data analytics to provide insights that inform decision-making in healthcare.
Previous Experience at LUDEX, LLC
Prior to his current role, Dalal worked at LUDEX, LLC as a Lead Machine Learning Engineer from 2021 to 2022. During his tenure in Chicago, Illinois, he was responsible for developing and implementing machine learning models to enhance the company's data-driven initiatives.
Background in Software Engineering
Chintan Dalal has a solid foundation in software engineering, having worked as a Senior Software Engineer at General Dynamics Robotic Systems from 2006 to 2010 in the Baltimore, Maryland area. His responsibilities included designing and developing software solutions for robotic systems, contributing to advancements in the field.
Education and Academic Qualifications
Dalal holds a Doctor of Philosophy (PhD) in Computer Science from Rutgers University. He also earned a Master of Science in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania. His academic background includes extensive research experience, having served as a Research Assistant and Teaching Assistant at both the University of Pennsylvania and Rutgers University.
Research and Fellowship Experience
Chintan Dalal has participated in various research roles, including a Research Fellow position at NCAR - The National Center for Atmospheric Research from 2015 to 2017 in Boulder, Colorado, and as a Postdoctoral Research Associate at the University of Minnesota-Twin Cities from 2018 to 2019. These positions allowed him to deepen his research expertise and contribute to significant projects in data science and engineering.