On Santa Monica pier

**News:**

- Math 170S students please look HERE for the course info and homeworks

**Keywords:**

- high-dimensional probability
- random matrix theory
- geometric analysis
- high-dimensional data analysis
- machine learning

I started Assistant Adjunct Professor (which means postdoc :)) appointment at UCLA Department of Mathematics in July'18.

Some pages from my academic story include:

- In Spring 2018 I graduated from University of Michigan (Mathematics). I was fortunate to have Roman Vershynin as my graduate advisor.
- Summers 2017 and 18 I worked at the Berkeley Lab Computation Research Division (in the Xiaoye Sherry Li group).
- In 2012 I got my specialist degree (B.S.+M.S. equivalent) in Mathematics at Moscow State University under supervision of Professor Vladimir Bogachev.

My PhD research is in **Non-Asymptotic Random Matrix Theory**. I study the
structure of the matrices with random elements and the goal is to get some explicit estimates that hold with
high probability for all matrices of large enough size.

Recently I have become also interested in questions related to finding the structure in large, potentially
high-dimensional data. In addition to the methods of **high-dimensional probability and geometry,
high performance computing** and **machine learning** become handy.

**Publications and preprints **:

- Constructive local regularization of the operator norm of random matrices arXiv:1809.03926

- Norms of random matrices: local and global problems. (with R.Vershynin) Advances in Mathematics, Vol. 324, 2018: pp 40–83. arXiv:1608.06953
- Coverings of random ellipsoids, and invertibility of matrices with i.i.d. heavy-tailed entries (with K.Tikhomirov) Israel J. Math., Vol. 227(2), 2018: pp 507-544. arXiv:1508.06690

- New bounds for the block Gaussian sketch and project method (with D. Needell) Proc. Information Theory and Applications, La Jolla CA, 2019
- A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression (with G. Chavez, Y. Liu, P. Ghysels and X.S.Li) ParLearning, 2018 arXiv:1803.10274

At UofMichigan: Math 115 (Calculus 1; primary instructor); Math 216 (Differential Equations; Matlab labs and problem solving recitations) and Math 623 (Computational Finance; TA).

Back in Moscow, I worked as a calculus instructor for high school students at 57-th math school (2008-2012) and as an algebra teacher at Kolmogorov math and physics high school (2012-2013).

I like all versions of my name: please call me Liza, Lisa, Eliza, or Elizabeth, whatever you like the best. In case you were curious, Elizaveta is pronounced as "Ye (like in yellow) - lee - zah - VYE - tah". Standard pronounsation of Liza is "LEE - zah".

In addition to doing research and explaining math, I enjoy coding and playing with data. Back in Moscow, I completed two year CS program in Yandex Data Analysis school, and it was such a great time. Nowadays I infrequently participate in online contests alone or with friends.

My other interests include all that I find beautiful or challenging. For example, songs, art, cities, mountains, cats, puzzles... Finally, I love talking to people, sharing experiences and drinking coffee - dark roast preferrable.

“Poirot,” I said. “I have been thinking.”

“An admirable exercise my friend. Continue
it.”

(Agatha Christie, Peril at End House)