I am a first-year Ph.D student at the Department of Statistics at Texas A&M University. I am broadly interested in machine learning and its theoretical underpinning.

Education

B.S. Mathematics (with highest distinictions, GPA: 4.00), University of Oklahoma, 2020
B.A. Economics (with highest distinctions, GPA: 4.00), University of Oklahoma, 2020

Publications

  1. Kramar, Miroslav and Sergazinov, Renat (2020). Force Reconstruction in Photoelastic Granular Materials Using Deep Learning. Preprint arXiv. [Code]

Talks

  1. Force Reconstruction in Photoelastic Granular Materials Using Deep Learning, Undergraduate Research, University of Oklahoma. [OSF]

Grants

  1. Force Reconstruction in Photoelastic Granular Materials Using Deep Learning, Undergraduate Research Program, University of Oklahoma, Fall 2019, $800.00

Software

  1. cartcpp: fast implementation of classification and regression trees (CART) in R using R Modules, C++, and Armadillo library. Currently available from [Github].

Honors

  1. President’s Honor Roll, University of Oklahoma (2016-2020)
  2. Alexander B. Holmes Economics Scholar, University of Oklahoma
  3. Frederick B. Swan Mathematics Scholar, University of Oklahoma
  4. Transfer Leadership Award, University of Oklahoma
  5. Transfer Academic Excellence Award, University of Oklahoma

Industry Experience

  1. Data Manager Intern, Samruk Energy JSC, 2019
  2. Financial Manager Intern, Vertical CJSC, 2018

Tools

  1. Programming languages: C++, R, Python
  2. Scripting: Bash
  3. Version control: Git (Github)

Contacts

Email: mrsergazinov@tamu.edu
Message: +1(405) 857-5617