NeuroML


Yulia Dodonova

ya.dodonova@mail.ru

Yulia holds a Specialist degree in Psychology from the Lomonosov Moscow State University and a PhD in Developmental Psychology from the Institute of Psychology, Russian Academy of Sciences. She also holds a Ms degree in Applied Mathematics and Computer Science from the National Research University Higher School of Economics. Yulia is currently a research fellow at the Kharkevich Institute for Information Transmission Problems (Group for Data Analysis in Neuroscience). Her research interests cover machine learning in connectomics, kernel classification methods, generative models for brain networks, and algorithms of brain network reconstruction.


Projects

Machine learning for connectomics