Julijana Gjorgjieva is a Macedonian-German professor of computational neuroscience at the Technical University of Munich and a research group leader at the Max Planck Institute for Brain Research. [1] [2] [3] [4] Her laboratory studies neural circuit formation. [5] [6]
Gjorgjieva was born in Kavadarci in North Macedonia, formerly known as Macedonia. [5] As a junior in high school, Gjorgjieva participated in a year-long exchange with the Hill School in Pennsylvania, through the American Secondary Schools for International Students and Teachers (ASSIST). [5] [2]
After completing high school, Gjorgjieva earned her undergraduate degree in mathematics at Harvey Mudd College [7] and conducted research in mathematical biology, specifically analyzing the susceptible, infected recovered (SIR) models and vaccination strategies for SARS. [2] Gjorgjieva then completed her master's degree in mathematics and a Ph.D. in applied mathematics at the University of Cambridge in the United Kingdom. [2] For her first postdoctoral program, Gjorgjieva conducted research at Harvard University. [2] She completed the final two years of her postdoc at Brandeis University in the lab of Eve Marder. [5] [2]
Gjorgjieva's research group studies how spontaneous activity in neural circuits lead to the refinement of sensory systems, how are these systems maintained post-development and after perturbations, and, lastly, how the neural networks being studied affect motor behavior. [6] [8]
Gjorgjieva has received numerous awards for her work in computational neuroscience. In 2021, Gjorgjieva was selected as a FENS-Kavli Scholar by the FENS-Kavli Network of Excellence for her work in theoretical neuroscience [9] [10] [11] In 2018, Gjorgjieva was awarded the Peter und Traudl Engelhorn Stiftung Research Prize in “Computational Biology." [12] In 2017, Gjorgjieva was awarded the NARSAD Young Investigator Award from the Brain and Behavior Research Foundation. [13]
Julijana Gjorgjieva is a Macedonian-German professor of computational neuroscience at the Technical University of Munich and a research group leader at the Max Planck Institute for Brain Research. [1] [2] [3] [4] Her laboratory studies neural circuit formation. [5] [6]
Gjorgjieva was born in Kavadarci in North Macedonia, formerly known as Macedonia. [5] As a junior in high school, Gjorgjieva participated in a year-long exchange with the Hill School in Pennsylvania, through the American Secondary Schools for International Students and Teachers (ASSIST). [5] [2]
After completing high school, Gjorgjieva earned her undergraduate degree in mathematics at Harvey Mudd College [7] and conducted research in mathematical biology, specifically analyzing the susceptible, infected recovered (SIR) models and vaccination strategies for SARS. [2] Gjorgjieva then completed her master's degree in mathematics and a Ph.D. in applied mathematics at the University of Cambridge in the United Kingdom. [2] For her first postdoctoral program, Gjorgjieva conducted research at Harvard University. [2] She completed the final two years of her postdoc at Brandeis University in the lab of Eve Marder. [5] [2]
Gjorgjieva's research group studies how spontaneous activity in neural circuits lead to the refinement of sensory systems, how are these systems maintained post-development and after perturbations, and, lastly, how the neural networks being studied affect motor behavior. [6] [8]
Gjorgjieva has received numerous awards for her work in computational neuroscience. In 2021, Gjorgjieva was selected as a FENS-Kavli Scholar by the FENS-Kavli Network of Excellence for her work in theoretical neuroscience [9] [10] [11] In 2018, Gjorgjieva was awarded the Peter und Traudl Engelhorn Stiftung Research Prize in “Computational Biology." [12] In 2017, Gjorgjieva was awarded the NARSAD Young Investigator Award from the Brain and Behavior Research Foundation. [13]