**Links:**

**Keywords:**

- high-dimensional probability
- random matrix theory
- mathematics of data
- randomized algorithms
- tensors
- linear systems
- corruption detection
- topic modeling

I started Assistant Adjunct Professor (which means postdoc :)) appointment at UCLA Department of Mathematics in July'18. My postdoc mentors are Deanna Needell and Terence Tao.

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 Lawrence Berkeley National 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.

I study large, often high dimensional objects in the presence (or with the help of) randomness. These "objects" sometimes come from the math world - such as, random matrices or tensors, or being motivated by applications - such as, linear systems or large collections of complex data.

Here, you can find full list of my publications and preprints, explore slides of my talks, or check out some of the latest updates below:

- I mentor Summer 2020 online
**UCLA REU program**- our group does topic modeling on CIP (California Innocence Project) data - talk to me if you'd like to know more! - On June 27 I gave a talk at Online Asymptotic Geometric Analysis Seminar on
**Modewise methods for tensor dimension reduction**, both**slides**and**video**are available. -
**SOCAMS 2020**(Southern California Applied Mathematics Symposium www.math.ucla.edu/socams2020/) is postponed until 2021 because of COVID-19 :( Hope everyone will stay safe and healthy! -
**Presentations slides**for (almost) all my papers are now available on the Presentations page

In Fall 2020, I am teaching Math 164 (Optimization) remotly. I am using CCLE webpages to post all the information and assignments. If you are my student, make sure to subscribe your emial for CCLE announcements!

At UCLA: I taught Math 170A (Probability, Fall 2018) and 170S (Statistics, Winter and Spring 2019). I also taught Math 170A (Probability) and Math 171 (Stochastic Processes) in Spring 2020 remotely.

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 pronunciation of Liza is "LEE - zuh".

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)