Published multiple papers such as 'Productive Performance Engineering for Weather and Climate Modeling with Python' (SC22), 'Boosting Performance Optimization with Interactive Data Movement Visualization' (SC22), and more. Involved in developing software projects like DaCe, Deep500, MAPS, etc.
Research Experience
Currently a research staff in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. Formerly worked in the Distributed Computing and X-ray scattering labs at the Hebrew University of Jerusalem.
Education
Former member of the Parallel Systems Lab at the Hebrew University of Jerusalem; former member of the Scalable Parallel Computing Laboratory at ETH Zurich.
Background
Computer Scientist, research interests include data-driven programming models, learnable code representations, large-scale machine learning, and deep learning for scientific computing.