Jonathan Rebane is an AI and Machine Learning Expert at the AI Sustainability Center where he brings technical expertise for developing sustainability oriented AI methods, solutions, and data insights. He is passionate about sustainable AI and believes that various stakeholders must work together to ensure responsible and trustworthy data driven innovation.
Jonathan has experience in multiple areas of academic research and the private sector working in Data Analytics. He is currently completing a PhD in Data Science at Stockholm University. His research involves developing AI frameworks to predict future diagnoses for patients using Electronic Health Record Data. In addition, Jonathan has published works on ”Explainable and Interpretable AI”, ”AI for Cryptocurrency Price Prediction”, ”Mathematical Modelling in Cellular Neuroscience” and ”Spatial Cognition.” A complete list of Jonathan’s publications can be found here.
Jonathan holds a Master’s degree in Health Informatics from Karolinska Institutet & Stockholm University and a Master’s degree in Neural Information Processing from the International Max-Planck Research School for Cognitive and Systems Neuroscience in Germany.