Matej Čief

Research areas: machine learning, reinforcement learning, deep learning, natural language processing, recommender systems, user modelling

Position: PhD Student

Matej is a research assistant specializing in recommender systems by combining his knowledge of reinforcement learning, deep learning, and natural language processing. His academic interests also span other related areas of machine learning, such as semi-supervised learning, time series analysis, model explainability, and biases in machine learning.

He holds a Master’s degree in Intelligent Software Systems from the Slovak University of Technology. During his studies, he has worked on multiple research projects, including User Modeling and his master’s thesis: Use of Semi-supervised Learning for Fake News Detection. Matej has gained experience in applied machine learning research through his work as a data scientist, where he mainly focused on solving problems in the fields of natural language processing and time series forecasting.