I am a machine learning Ph.D. student with Arno Solin's research group at Aalto University, Finland. I am broadly interested in probabilistic modeling and efficient inference techniques. For my master’s thesis, I researched on developing variational inference techniques for non-linear SDEs. Recently, my work has focused on sequential decision-making models that need computationally efficient and well-calibrated uncertainty.
I graduated from Aalto University, Finland, with a Master's in Machine Learning, Data Science and Artificial Intelligence as major and Mathematics as minor (2019-2021).
In 2021-2022, alongside Aalto University, I also worked with SpectacularAI as a consultant for an electronics firm developing methods to integrate uncertainty in their deep learning models, making them robust. During 2016-2019, I worked in the R&D team of TomTom, responsible for devising, developing, and bringing into production innovative new technologies. My work mainly revolved around machine learning, image processing, and automation, focusing on revolutionizing map data.
Email  /  CV  /  Github  /  LinkedIn