Department of Computer Science
Dr. Natalia Sokolov
Kestrel Distinguished Professor of Data Science
Faculty profile
About Dr. Natalia Sokolov
Natalia Sokolov teaches Machine Learning and Neural Networks and Senior Data Science Capstone Project. An internationally recognized data science researcher, her scholarship investigates equivariant neural networks, diffusion models for molecular generation, and geometric deep learning on non-Euclidean manifolds. She joined Alkimi from Tamarack State University, where she directed an institute for computational discovery.
Dr. Natalia Sokolov is a member of the Department of Computer Science in the School of Engineering & Computing.
Areas of expertise
- Geometric deep learning
- Deep generative diffusion models
- Equivariant neural networks
- Molecular representation learning
Contact
- Office
- Ashby Hall 253
- Building
- Ashby Hall
Fall 2026 office hours
Dr. Natalia Sokolov isn't teaching in Fall 2026. Email to arrange a meeting.
2026–27
Teaching
Dr. Natalia Sokolov has no undergraduate teaching assignment in the 2026–27 catalog. For the department's courses, see the Department of Computer Science.
Meeting with faculty
At least 3 hours per week during the semester, across at least 2 days, with at least 1 hour available virtually. Times are on each course syllabus in Canvas.