Summary
Martin Takac is an Associate Department Chair and Associate Professor at MBZUAI with 13 years of experience bridging mathematical theory and practical machine learning. Trained as a mathematician with a PhD from the University of Edinburgh, he earned top honors like the OR Society Best PhD Dissertation and Leslie Fox Prize while developing algorithms for ML, optimization, and high-performance computing. His career blends academia and industry collaboration—leading funded TRIPODS research with peers at Lehigh, Northwestern, and Boston University and partnering with organizations such as Google Research, ExxonMobil, and Tencent. He teaches and builds production-ready ML systems, from deep learning frameworks to CUDA-based HPC implementations, and serves as an editor and area chair for major optimization and ML venues. Beyond publications, he has entrepreneurial experience founding analytics and web firms, reflecting a pragmatic focus on deploying data-driven solutions.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, Doctor of Philosophy (PhD), Operations Research at The Univeristy of Edinburgh
English, Slovak