About

Mathematician/statistician with a strong interest in applications of mathematical and statistical methods (optimization, numerical methods, Monte Carlo simulations) to research problems in (bio)statistics, pharmacometrics, econometrics, machine learning, data science.

15+ years of research experience in mathematical physics and biostatistics which is summarized by 30+ scientific publications in mathematical and statistical journals.

Personal web page: https://yevgenryeznik.github.io/personal-page

Education

Sep. 2014 – Apr. 2019
Uppsala, Sweden

Uppsala University, Department of Mathematics

Ph.D. in Applied Mathematics and Statistics

Thesis: “Optimal adaptive designs and adaptive randomization techniques for clinical trials.”

Courses taken: Applied Mathematics, Analysis of Time Series, Uncertainty Quantification, Computational Python, Validated Numerics, Foundation of Machine Learning, Advanced Statistical Computing, Computer-Intensive Statistics, Introduction to Data Science, Foundation of Data Science.

Sep. 1996 – Jun. 2001
Kharkiv, Ukraine

Kharkiv National University, Department of Mechanics and Mathematics

Specialist/M.Sc. in Applied Mathematics

Thesis: “Numerical analysis of a plane monochromatic wave scattering from a parabolic cylinder with a circular reflector.”

Coursework included: Mathematical Analysis, Functional Analysis, Analytic and Differential Geometry, Linear and Abstract Algebra, Ordinary and Partial Differential Equations, Discrete Mathematics, Optimization, Probability, Mathematical Statistics, Random Processes, Game Theory, Numerical Analysis, Generalized Functions, Special Functions, Sobolev Spaces, Operator Theory, Diffraction Theory, Mechanics, Mathematical Physics.

Work Experience

Jan. 2024 – present
Uppsala, Sweden

Uppsala University, Department of Pharmacy

Researcher in Statistics and Pharmacometrics

  • Researching innovative statistical, pharmacometrics, and machine learning methods.

Jan. 2023 – Jan. 2024
Gothenburg, Sweden

The Janssen Pharmaceutical Companies of Johnson & Johnson, Statistical Modeling and Methodology

Principal Statistician

  • Applying statistical modeling to support clinical trial designs.
  • Developing new methodologies to improve clinical trials efficiency.
  • Researching innovative statistical, pharmacometrics, and machine learning methods.

Jun. 2020 – Dec. 2022
Gothenburg, Sweden

AstraZeneca, Early Biometrics and Statistical Innovations

Senior Statistician

  • Applying statistical modeling to support early phases’ clinical trial designs.
  • Researching innovative statistical, pharmacometrics, and machine learning methods to improve the efficiency of clinical trials.

Sep. 2019 – May 2020
Uppsala, Sweden

Uppsala University, Department of Pharmaceutical Biosciences

Researcher in Pharmacometrics

  • Working on the FDA project “Evaluation and development of model-based bioequivalence analysis strategies.”
  • Developing R package to perform the analysis.

Sep. 2014 – Aug. 2019
Uppsala, Sweden

Uppsala University, Department of Mathematics

PhD Student/Teacher of Mathematics & Statistics

  • Working on a Ph.D. thesis in biostatistics resulting in four scientific publications.
  • Teaching (20%) mathematical and statistical courses for undergraduate, master, and Ph.D. students. Some courses were developed from scratch.

Jan. 2013 – Aug. 2014
Kharkiv, Ukraine

CS Ltd. (A part of Quartesian LLC)

SAS Programmer/Clinical Data Analyst

  • Programming and validating (QC) STDM/ADaM datasets, tables, listings, and figures for clinical study reports (in SAS).
  • Developing programming specifications according to the CDISC standards.
  • Performing statistical analysis and modeling of clinical trial data.

Sep. 2002 – Dec. 2012
Kharkiv, Ukraine

Kharkiv National University of Economics, Department of Mathematics

Teaching and Research Assistant

  • Teaching (full-time) various statistical and mathematical courses for undergraduate students.
  • Researching the problems in mathematical physics and biostatistics.

Sep. 2001 – Aug. 2002
Kharkiv, Ukraine

Information Center of Trade

Software Developer

  • Developing software for cash registers.
  • Maintenaning and supporting company’s databases.

Certificates

2017
Uppsala, Sweden

Center for Interdisciplinary Mathematics, Uppsala University

Introduction & Fundamentals of Data Science

2016
Uppsala, Sweden

Uppsala University

Academic Teacher Training

2015
Uppsala, Sweden

Center for Interdisciplinary Mathematics, Uppsala University

Advanced Statistical Computing in R

Skills

Quantitative

Automatic Differentiation, Bayesian Methods, Differential Equations, Experimental Designs, Interval Analysis, Machine Learning, Monte Carlo Methods, PK/PD Models, Probability & Statistics, Randomization, Regression, Survival Analysis, Uncertainty Quantification.

Programming

Apache Spark, Julia, MatLab, Python, R, SAS, Scala, SQL.

Tools

Databricks, Git, Jupyter Notebook, LaTeX, Quarto, RMarkdown.

Languages

English (Fluent), Swedish (Beginner), Ukrainian (native), Russian (native).