Summary
Vitaliy Kinakh is a research-focused Ph.D. candidate and Research Assistant at the University of Geneva with 9 years of experience applying computer vision, deep learning, and geodata analysis to real-world problems. He has blended academic rigor with industry practice through roles at Abto Software, IIASA, and a research internship at Université Laval, consistently improving and inventing algorithms for complex tasks. His work spans both theoretical development and practical annotation/implementation workflows, giving him a strong end-to-end perspective on ML pipelines for spatial data. Based in Geneva, he leverages a solid mathematical foundation from Lviv Polytechnic to tackle interdisciplinary challenges at the intersection of mathematics, computer science, and geospatial systems. An intriguing detail: alongside doctoral research, he has hands-on experience in geodata annotation processes, which enhances his ability to bridge noisy real-world datasets and robust model design.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Lviv Polytechnic National University
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at University of Geneva
English, Ukrainian, Russian, French, German, Polish