Tijana Janjic received her PhD in Applied Mathematics from University of Maryland, College Park in 2001. Her major expertise is in the field of data assimilation in earth sciences, in particular applications to prediction of atmosphere and ocean evolution. Her scientific papers span topics in convective scale data assimilation, ensemble-based Kalman filter algorithms, numerical methods, uncertainty quantification, large-scale linear and nonlinear constrained optimization and data science. She has been serving as associate editor for Journal of Advances in Modeling Earth Systems (JAMES) since December 2018 and associate editor of Quarterly Journal of the Royal Meteorological Society since 2013. She currently has more than 35 peer-reviewed scientific papers and was a principal investigator in over ten projects.

Tijana Janjic, PhD Associate Professor, Institute of Meteorology, Ludwig-Maximilians-Universität München, Munich, Germany

Tijana Janjic received her PhD in Applied Mathematics from University of Maryland, College Park in 2001. Her major expertise is in the field of data assimilation in earth sciences, in particular applications to prediction of atmosphere and ocean evolution. Her scientific papers span topics in convective scale data assimilation, ensemble-based Kalman filter algorithms, numerical methods, uncertainty quantification, large-scale linear and nonlinear constrained optimization and data science. She has been serving as associate editor for Journal of Advances in Modeling Earth Systems (JAMES) since December 2018 and associate editor of Quarterly Journal of the Royal Meteorological Society since 2013. She currently has more than 35 peer-reviewed scientific papers and was a principal investigator in over ten projects.

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