Máté Levente Nagy
About Máté Levente Nagy
Máté Levente Nagy serves as the Director of Data Science at Ionpath, bringing extensive experience in computational biology and computer vision. He has held various roles at NeoGenomics Laboratories and Yale University, contributing significantly to the fields of deep learning and digital pathology.
Current Role at Ionpath
Máté Levente Nagy serves as the Director of Data Science at Ionpath since 2024. In this role, he is responsible for overseeing data science initiatives and leading projects that leverage computational methods to enhance the company's capabilities in data analysis and interpretation. His expertise in data science is integral to Ionpath's mission in advancing precision medicine.
Previous Experience at NeoGenomics Laboratories
Prior to his current position, Máté Levente Nagy held multiple roles at NeoGenomics Laboratories. He worked as a Principal Scientist and Associate Director of Digital Pathology, Multiplexing for 7 months in 2021. He also served as a Senior Scientist and Technical Lead in Computational Biology: Deep Learning from 2019 to 2021, and briefly as a Senior Scientist in the same field for one month in 2019. His work focused on applying deep learning techniques to enhance diagnostic processes.
Academic Background
Máté Levente Nagy earned his Doctor of Philosophy (PhD) in Computational Biology and Bioinformatics from Yale University, where he studied from 2011 to 2017. Prior to this, he completed his Bachelor of Science (BS) degree at Brooklyn College, majoring in Biology and Economics, with minors in Computer Science and Physics from 2006 to 2011. His academic training provided a strong foundation in both biological sciences and computational methods.
Experience at Ionpath
Máté Levente Nagy has extensive experience at Ionpath, having worked in various capacities. He was a Principal Scientist in Computer Vision from 2023 to 2024 and served as a Staff Scientist in Computer Vision from 2021 to 2023. His roles involved developing and implementing computer vision algorithms to support the company's technological advancements in pathology.
Research Experience at Yale University
During his time at Yale University, Máté Levente Nagy worked as a PhD Researcher from 2011 to 2017. His research focused on computational biology, contributing to the understanding of biological systems through computational approaches. This experience equipped him with the skills necessary for his subsequent roles in data science and computational biology.