Summary
Sagar Malhotra is a physicist-turned-machine-learning researcher with eight years of experience applying deep learning to physics problems, currently a Postdoctoral Researcher at Technische Universität Wien and affiliated with Fondazione Bruno Kessler. He blends rigorous physics training (MS, Università di Trento; BS, Delhi University) with hands-on ML practice to develop data-driven models that address complex scientific questions. Based in Vienna, he maintains an online portfolio (countinglogic.github.io) highlighting interdisciplinary projects that bridge theory and computation. Known for translating domain knowledge into practical ML solutions, he brings both experimental sensibility and algorithmic fluency to collaborative research environments.
8 years of coding experience
Master of Science - MS, Physics, Master of Science - MS, Physics at Università di Trento
University of Delhi