Kate Jaroslavceva
Research Scientist
About
I am a Computer Vision Research Scientist with the Microsoft Spatial AI team in Zurich, where I work on advancing spatially aware technologies to bridge the digital and physical worlds.
Before joining Microsoft, I was an ML Researcher at CERN, where I explored the use of Graph Neural Networks to enhance particle reconstruction for the CMS Experiment. My contributions included designing an innovative 3D energy deposit linking algorithm leveraging Graph Neural Networks, capable of handling the increased data complexity expected from the High-Luminosity Large Hadron Collider upgrade.
I hold an MSc in Cybernetics and Robotics from the Czech Technical University in Prague. During my studies, I worked as a Computer Vision Researcher at the Center for Machine Perception and collaborated with Google Research to develop an open-source, state-of-the-art CNN-based image retrieval algorithm, now integrated into the TensorFlow repository. I also completed two internships at Microsoft, where I researched and implemented noise suppression techniques for robotic speech recognition using digital signal processing and neural networks.