Keywords:
I am an Assistant Professor in the ORFE Department at Princeton University, and an associated faculty member of the Program in Applied and Computational Mathematics (PACM) and the Center for Statistics and Machine Learning (CSML).
My previous academic story includes:
My research is in the randomized numerical linear algebra and the mathematics of data science, also closely related to high-dimensional probability and stochastic optimization. I work on developing mathematically justified and effective randomized algorithms for large-scale data. I am particularly interested in settings where the data or the problem exhibits non-trivial mathematical structure, such as, a certain spectral decay, multi-modalilty or nonnegativity, or in the presence of structured noise.
See also recent papers by topic.
My work was supported by
If you have any research question, please email me, I will do my best to reply. If you are looking to apply for a PhD program, you should apply directly to the department. Sorry that I do not reply to the emails about applying for our PhD program.
At Princeton, general information:
Earlier teachng:
My first name is the Russian version of Elizabeth. 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 for various audiences, I enjoy coding and playing with data. During my undergraduate time in Moscow, I completed two year CS program in Yandex Data Analysis school, it was such a great time.
My non-mathy interests include things that I find beautiful or challenging, such as, good stories, arts, oceans, mountains and cities, also finding and making perfect coffee.
“Poirot,” I said. “I have been thinking.”
“An admirable exercise my friend. Continue
it.”
(Agatha Christie, Peril at End House)