Dr. Onkar Jadhav

Biography

Onkar Jadhav is a research fellow at the University of Western Australia, specializing in the development of machine learning frameworks for oceanography. His work primarily focuses on creating statistical downscaling techniques utilizing machine learning for sub-seasonal and seasonal ocean temperature predictions. Previously, he was a postdoctoral researcher at the University of Luxembourg, where he developed machine learning reduced-order modeling frameworks for solving computational fluid dynamics (CFD) problems in wind engineering. He holds a Ph.D. in Applied Mathematics from the Technical University of Berlin, where his thesis was a cross-disciplinary project that contributed to the development of physics-assisted machine learning algorithms for high-dimensional partial differential equations. In his spare time, he is an avid reader and enjoys sketching.

Research Interests