Peter Izsak is a Senior Data and Applied Scientist at Microsoft, specializing in the development and implementation of advanced Natural Language Processing solutions for the healthcare sector. With extensive expertise in computational linguistics and machine learning, he architects innovative NLP systems that address complex healthcare challenges. Prior to joining Microsoft, he served as a Research Scientist and Team Lead at Intel Labs, where he spearheaded research initiatives at the intersection of Deep Learning and Natural Language Processing. He holds both Master of Science and Bachelor of Science degrees from the Technion - Israel Institute of Technology.

His research focuses on optimizing large language models for practical applications, with particular emphasis on computational efficiency, hardware optimization, and generative capabilities. As evidenced by his publication record, he has made significant contributions to model quantization, efficient training methodologies, and retrieval-augmented generation. Peter is committed to advancing the field of NLP through the development of scalable, efficient technologies that deliver meaningful impact across industries.

For a comprehensive list of his research publications, please refer to his Google Scholar and Semantic Scholar profiles.