Rohit is a PhD student in mechanical engineering developing continuum mathematical models for the collective dynamics in biological and engineered active fluids—for example, suspensions of swimming cells or self-propelling colloidal particles. In particular, he is developing and investigating physics-informed machine learning methods to infer partial differential equations that govern macroscopic observables directly from particle data. To achieve this, Rohit has used MATLAB for building a learning framework that coarse-grains microscopic data and results in interpretable models that are essential for predicting the complex dynamics in these systems. He has also extensively used MATLAB as a teaching tool in his role as a TA for a graduate subject in fluid mechanics, as well as an undergraduate subject in dynamics and controls. He earned a BTech in mechanical engineering from Indian Institute of Technology, India and an SM in mechanical engineering from MIT.