Daniel Trejo Banos

Daniel Trejo Banos

Sr. Data Scientist

Daniel worked as a postdoctoral researcher on critical event prediction for the University Hospital in Zurich. In addition, Daniel has worked as a postdoctoral researcher in Lausanne, delivering algorithms for Bayesian inference in big panel data. Previously in Paris, he developed models for automated scientific discovery. He obtained a Ph.D. from the University of Edinburgh, funded by a Microsoft Research scholarship. His interest relates primarily to attacking applied biomedicine problems from different angles, frequentist statistics, Bayesian statistics, and Machine Learning.



In Progress
from Air pollUtion souRces tO moRtAlity
Biomedical Data Science
Energy, Climate & Environment


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