معرفی
Rosa Karlić is an Associate Professor at the Department of Molecular Biology, Faculty of Science, University of Zagreb. She is actively involved in teaching and leading advanced courses in computational biology, genomics, and data science applied to biological research.
- Department: Department of Molecular Biology
- School: Faculty of Science
- University: University of Zagreb
- Email: rosa@bioinfo.hr
- Phone: +385(0)1 4606 276
Her research interests center on computational and translational genomics, with a strong emphasis on data analysis, machine learning, and the application of programming and statistical methods to biological problems. She teaches key graduate and doctoral courses such as Algorithms and Programming, Data Analysis in Biological Research, Computational Genomics, Machine Learning and Statistics, and Methodology of Scientific Research.
While specific publications and awards are not listed in the provided text, her leadership roles in core methodological courses suggest a significant contribution to training the next generation of molecular biologists in quantitative and computational techniques. She serves as a project leader, lecturer, and head of department in multiple advanced courses, indicating an active and central role in the academic and research life of the department.
- Biostatistics (Doctoral level) - Lecturer, Practicum exercises
- Graduation thesis - Seminar
- Research Methods in Molecular Biology - Lectures
- Translational Genomics - Holder/Carrier
- Computational Genomics - Head of Department/Holder
- Methodology of scientific research - Lecturer, Practicum
- Experimental design of high-throughput experiments - Project leader
- Data analysis in biological research - Project leader
- Algorithms and Programming - Lecturer
Rosa Karlić plays a vital role in integrating computational and data-intensive approaches into molecular biology education and research at the University of Zagreb, particularly through her leadership in methodological and quantitative courses essential for modern biological research.
