Hypervision Surgical has expanded its R&D team with the appointment of Maximilian Kiss as a Research Scientist.
With a background in Physics Maximilian conducted his PhD studies in the fields of machine learning and computed tomography and brings over 5 years of previous experience in computational imaging research.
Maximilian has designed, acquired, and distributed the 2DeteCT dataset, the world’s first real-world experimental computed tomography dataset for benchmarking machine learning based CT image reconstruction algorithms. He will leverage his expertise in dataset curation and solving inverse problems with deep learning methods for developing Hypervision’s next-generation hyperspectral imaging technology, incorporating surgeon feedback and human factor engineering from in-vivo pre-clinical and clinical studies.
His previous research endeavours at prestigious institutions such as ETH Zurich, Stanford University, the Dutch National Research Institute for Mathematics and Computer Science (CWI), and the University of Cambridge illustrate his commitment to innovation and academic excellence.
As Research Scientist, Max will design, implement, and validate new computational and machine learning frameworks for developing Hypervision’s next-generation core algorithms.
I’m delighted to join the team at Hypervision Surgical and to work on a disruptive imaging technology at the intersection of healthcare, engineering, and machine learning research. The visionary approach to guide surgery with real-time hyperspectral imaging based on safe light alone will change the future of surgery and will have an everlasting impact on surgery outcome and patient safety.
— Maximilian Kiss