Yevgen Ryeznik

Short presentation

My name is Yevgen Ryeznik (Ukrainian: Євген Рєзнік).

I am a quantitative scientist who applies mathematical and statistical methods to solve complex problems in various fields. My research focuses on developing optimal and adaptive designs for clinical trials and leveraging scientific machine learning for drug development. I also teach courses in applied mathematics and statistics, helping students use quantitative tools to tackle real-world problems.

Keywords

• statistics
• pharmacometrics
• econometrics
• differential equations
• integral equations
• experimental designs
• adaptive randomization
• mathematical physics.

Biography

Education

2014-2019, Department of Mathematics, Uppsala University

Ph. D. in Applied Mathematics and Statistics (Uppsala, Sweden).

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

1996-2001, Faculty of Mechanics and Mathematics, Kharkiv National University

Diploma/M. Sc. in Applied Mathematics (Kharkiv, Ukraine).

Thesis: "Numerical analysis of a plane monochrome wave scattering from a parabolic cylinder with a circular reflector."

Professional Experience

2025-present, Senior Lecturer/Associate Professor, Department of Mathematics, Uppsala University (Uppsala, Sweden).

2024-2025, Researcher in Statistics & Pharmacometrics, Department of Pharmacy, Uppsala University (Uppsala, Sweden).

2023-2024, Principal Statistician, Statistical Modeling & Methodology, Johnson & Johnson (Gothenburg, Sweden).

2020-2023, Senior Statistician, Early Biometrics & Statistical Innovations, AstraZeneca (Gothenburg, Sweden).

2019-2020, Researcher in Pharmacometrics, Department of Pharmaceutical Biosciences, Uppsala University (Uppsala, Sweden).

2014-2019, Ph. D. Student/Teacher of Mathematics & Statistics, Department of Mathematics, Uppsala University (Uppsala, Sweden).

2013-2014, SAS Programmer/Clinical Data Analyst, Quartesian LLC (CS Ltd) (Kharkiv, Ukraine).

2002-2012, Teaching and Research Assistant, Department of Mathematics, Kharkiv National University of Economics (Kharkiv, Ukraine).

2001-2002, Software Developer, Information Center of Trade (Kharkiv, Ukraine).

Research

My research centers on the application of statistical and mathematical methods—including linear and nonlinear models, Monte Carlo simulations, optimization, and uncertainty quantification—to various fields.

My primary research interests include:

• Optimal and Adaptive Designs for Clinical Trials: I develop and implement adaptive designs and randomization techniques to improve the efficiency and ethical considerations of clinical research.
• Scientific Machine Learning: I am interested in using these algorithms to solve complex problems in drug development.
• Applied Quantitative Problems: I also apply my expertise to solve problems in fields such as econometrics and computational electromagnetics.