Abhinav is a PhD student in mechanical engineering and computation who is developing state-of-the-art algorithms and methodologies for uncertainty quantification, Bayesian learning, deep learning, and numerical methods for various ocean applications. His research in the past years has focused on the problem of sustainable fisheries management inIndia. Due to the high-dimensional nature of ocean modeling and the operational requirements of making ocean predictions in real time, legacy codes written in programming languages such as Fortran are used. While they provide computational speed, they are notoriously difficult to code, edit, and debug. Acting as a bridge, Abhinav is usingMATLAB as a sandbox to develop and test new theories and algorithms before implementing them in the legacy ocean models. He earned a BS and MS in mechanical engineering, both from Indian Institute of Technology Kanpur, India.