About me
I am a Lecturer in Applied and Computational Algebra in the School of Mathematics and Statistics at the University of Melbourne. My research interests are in algebraic statistics, applied algebraic geometry, and mathematical machine learning. Here is my CV.
From 2024 to 2026, I was a Hedrick Assistant Adjunct Professor (postdoc) in the Department of Mathematics at UCLA, where I worked with Guido Montúfar and was supported by DARPA AIQ.
In 2025, I was a Postdoctoral Fellow in Applied Mathematics at Harvard, working with Anna Seigal.
I completed my PhD in mathematics in December 2023 at UC Berkeley, where I was advised by Bernd Sturmfels and Serkan Hoşten. My PhD thesis "From Voronoi Cells to Algebraic Statistics" can be found here. I received my bachelor's degree with high honors in mathematics from Wesleyan University in 2019, where I was advised by Karen Collins. My undergraduate thesis "Combinatorial Nullstellensatz: Various Proofs, Extensions and Applications" can be found here.
Outside of math, I enjoy bouldering, aerial arts, reading, travel, and vegan cooking. I write creative non-fiction and poetry (in Russian).
You can reach me by email at yulia.alexandr@unimelb.edu.au. Here is my Google scholar page.
News
- Together with Guido Montúfar, Michael Murray, and Rishi Sonthalia, I am co-organizing the IPAM workshop Algebraic Geometry: A Window to Machine Learning, to be held February 1–5, 2027.
- Check out my interview with Bernd Sturmfels on the occasion of the International Congress of Mathematicians 2022: