About

Peter Kecskemethy is the Co-founder and CEO of Kheiron Medical, a medical imaging company that uses advanced machine learning technologies to develop and provide intelligent tools for radiologists, radiology departments, imaging centers, and hospitals to improve efficiency, consistency, and accuracy of radiology reporting. With over 8 years of relevant experience, Peter is a research scientist with expertise in machine learning. Peter has a strong academic background, having completed his DPhil in LSI DTC - Computational Statistics from the University of Oxford in 2015. He also holds a BSc in Artificial Intelligence and Cybernetics from the University of Reading and a degree in Computer Science and Software Engineering from the Technical University of Budapest. Before co-founding Kheiron Medical, Peter worked as an Entrepreneur at Entrepreneur First and as a Post-doctoral researcher at the University of Oxford. At the University of Oxford, Peter worked on Flexible and optimal high-performance changepoint estimation for ordered (e.g. time series) data and High-performance HMM algorithms in population genetics. Peter's passion for using machine learning to improve healthcare outcomes is evident in his work at Kheiron Medical. He is committed to putting the needs of radiologists and clinicians first, believing that only through empowering them can patient outcomes be improved. Peter's tech stack includes ML, and he is always looking for innovative ways to leverage technology to enhance healthcare. Overall, Peter Kecskemethy is a highly skilled research scientist and entrepreneur with a passion for using machine learning to improve healthcare outcomes. His academic background, combined with his relevant experience, makes him a valuable asset to the healthcare industry.