Rishita Das

Rishita Das is a postdoctoral researcher in the Mechanical and Aerospace Engineering department of New York University. She is working with Prof. Maurizio Porfiri in the Dynamical Systems Laboratory in the areas of complex systems, information theory, and data science. Rishita received her PhD in Aerospace Engineering from Texas A&M University, where she worked with Prof. Sharath Girimaji in turbulence theory and modeling. She holds Bachelor and Master’s degrees in Aerospace Engineering from Indian Institute of Technology Kharagpur, India, where she graduated top of her class with an Institute Silver Medal. She is also an Amelia Earhart Fellow and a DAAD-WISE scholar.

Her research interests are broadly in mathematical formulation, statistical analysis, and data-driven modeling of turbulent flows and complex systems. Her doctoral dissertation research improves our understanding of small-scale processes in turbulence through novel theoretical approaches and data analysis. Her developed data-driven model for velocity gradients accurately reproduces the small-scale dynamics of high Reynolds number turbulent flows. She is now conducting research in complex systems and data science to study problems of fluid dynamics, fish swimming, and collective behavior. In future, Rishita aspires to develop expertise in these areas and conduct research at the intersection of turbulent flows and complex systems to advance the field of Aerospace engineering.