Published multiple papers such as 'vllm-triton-backend: How to get state-of-the-art performance on NVIDIA and AMD with just triton' and holds several patents like 'Training Decision Tree-based Predictive Models'.
Research Experience
Joined Arithmatica, Warwick, U.K., in 2005, where he was involved in FPGA design and electronic design automation; co-founded Siglead Europe in 2007, developing signal processing and error-correction algorithms for HDD, flash, and emerging storage technologies; joined IBM Research in Zürich, Switzerland, in 2013, actively involved in research and development of machine learning, compression, and error-correction algorithms for IBM’s storage and AI products.
Education
Received B.Sc. in Mathematics from the University of Warwick, U.K., in 2006; Ph.D. in Mathematics from the University of Warwick, U.K., in 2011.
Background
Research interests include signal processing, information theory, machine learning, and recommender systems. Works at IBM Research, focusing on the development of machine learning, compression, and error-correction algorithms.