Ms. Aparna Radhakrishnan is affiliated with Princeton University's Cooperative Institute for Modeling the Earth System (CIMES. The Cooperative Institute for Modeling the Earth System (CIMES) is a collaboration between Princeton University and the National Oceanographic and Atmospheric Administration's (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) to carry out research in earth system sciences.

The GFDL Data Science Group (DSG), led by Ms. Radhakrishnan, is dedicated to bridging the gap between predictions and projections data and its societal applications. The group focuses on key areas such as data management, data publication, automation, and public engagement, ensuring that critical scientific data is accessible and impactful for diverse audiences.

Since 2009, Ms. Radhakrishnan has been a key contributor to NOAA's mission to understand climate variability and change. Her leadership roles in the Modeling Systems Division’s Data Services, the Diagnostics and Evaluations Team at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), and the NOAA Model Diagnostics Task Force have been instrumental in advancing these goals (Ack. CIMES Annual Reports). Ms. Radhakrishnan brings extensive technical expertise, having contributed to a range of significant projects, including the Coupled Model Intercomparison Projects, the NSF-funded ExArch initiative on “User-Developed Climate Analytics on Federated Archives", Pangeo and statistical downscaling efforts. These experiences have positioned her as a natural leader within the GFDL Data Science Group. In addition to her technical work, Ms. Radhakrishnan is passionate about integrating machine learning techniques and cloud computing throughout the end-to-end data publication lifecycle. She is committed to connecting data producers and consumers and ensuring that all contributors’ efforts are recognized.

Ms. Radhakrishnan believes that the most challenging problems do not necessarily have the most complicated solutions.  Her personal and professional core values are: Courage, Commitment, Compassion and Belonging.