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Sara Hamis is an Assistant Professor at Uppsala University in the Department of Information Technology, specializing in Machine Learning. Sara leads the Artificial Intelligence Mathematics Oncology (AIMOn) research group, which is dedicated to developing mathematical and statistical computational methods to help researchers understand and predict cancer dynamics. Her research encompasses a variety of complex theoretical frameworks and algorithms, including Markov chain Monte Carlo algorithms, game theory, partial differential equations, and Bayesian statistics. Sara has a keen interest in mathematical biology and adaptive dynamics, striving to advance the methods utilized in cancer research. She is a Wenner-Gren Fellow and associated with the Beijer Institute of Ecological Economics for her pioneering contributions in the intersection of AI and oncology. Her work is crucial for enhancing predictive models and fostering innovative approaches in cancer studies.
Uppsala University • Uppsala, Sweden
Involved in research and teaching in the field of Machine Learning, leading the AIMOn research group.
General Master's requirements applying across Science, Technology, and Humanities departments.