معرفی
Elena Tuzhilina is an Assistant Professor in the Department of Statistical Sciences at the University of Toronto, specializing in machine learning, applied statistics, and computational biology. Her research focuses on statistical tools for chromatin 3D spatial structure reconstruction and analyzing emotional disorders' impact on brain function.
- Ph.D. in Statistics from Stanford University
- Specialist's degree from Moscow State University
- Two-year Data Science program at Yandex School
Her research spans high-dimensional data analysis, dimension reduction, and statistical modeling in biological contexts. She has developed novel algorithms for chromatin conformation reconstruction and pandemic trajectory modeling.
Recent publications focus on canonical correlation analysis, low-rank matrix approximation, and 3D genome architecture, with applications in computational biology and neuroscience.
- Dorothy Shoichet Women Faculty in Science Award
- JSM Student Travel Award
- Outstanding Teaching Assistance at Stanford
- Stanford Teaching Assistant Award
Elena supervises PhD students and postdoctoral fellows across disciplines including statistical sciences, biochemistry, and applied mathematics. She has secured multiple grants including a NSERC Discovery Grant and University of Toronto Accelerator Grant.
