Kashif earned his B.Sc. with Honours from Monash University in Melbourne, Australia, followed by his Ph.D. in 2010 from the Free University of Berlin in the area of Differential Geometry and PDEs. He completed his thesis under the supervision of Prof. Klaus Ecker. Prior to finishing his Ph.D. he worked at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) on the Cactus Framework, an open-source, problem-solving environment designed for scientists and engineers. Kashif also worked as a software developer on Amira, a 3D scientific visualisation framework. Since this time, he has been the cofounder of two startups in the area of Geospatial Databases and Crowdsourced Logistics.
Kashif recently began his postdoctoral research at the Free University of Berlin in the Databases group, lead by Prof. Agnès Voisard. He is also employed as a teacher there. Kashif is passionate about high performance computing and has presented at various conferences, including Nvidia’s GTC and Strange Loop. He is an avid contributor to open source projects via github.com/kashif.
Current research interests:
Deep Learning, Deep Reinforcement Learning, Approximate Algorithms for Big Data, High Performance Computing, Distributed Systems