Yevgen Ryeznik
Forskare vid Institutionen för farmaci; Farmakometri
- E-post:
- yevgen.ryeznik@uu.se
- Besöksadress:
- Biomedicinskt Centrum BMC, Husargatan 3
- Postadress:
- Box 580
751 23 UPPSALA
Ladda ned kontaktuppgifter för Yevgen Ryeznik vid Institutionen för farmaci; Farmakometri
- ORCID:
- 0000-0003-2997-8566
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Kort presentation
Denna text finns inte på svenska, därför visas den engelska versionen.
My name is Yevgen Ryeznik (Ukrainian: Євген Рєзнік).
I am a statistician/mathematician with a strong interest in applications of statistical and mathematical methods (linear and nonlinear models, Monte Carlo simulations, optimal experimental designs, optimization, scientific computing, probabilistic models, randomization, uncertainty quantification) to research problems in (bio)statistics, pharmacometrics, econometrics, and machine learning.
Nyckelord
- adaptive designs
- biostatistics
- differential equations
- integral equations
- optimal designs
- pharmacometrics
- randomization
Biografi
Denna text finns inte på svenska, därför visas den engelska versionen.
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
2024-present, 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).
Forskning
Denna text finns inte på svenska, därför visas den engelska versionen.
My research concerns optimal adaptive designs for clinical trials, adaptive randomization techniques, and utilizing scientific machine learning algorithms in drug development.
Publikationer
Senaste publikationer
- Forced randomization (2024)
- Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi-center clinical trial (2024)
- Selecting a randomization method for a multi-center clinical trial with stochastic recruitment considerations (2024)
- Opportunity for efficiency in clinical development (2021)
- On Optimal Designs for Clinical Trials (2020)
Alla publikationer
Artiklar
- Forced randomization (2024)
- Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi-center clinical trial (2024)
- Selecting a randomization method for a multi-center clinical trial with stochastic recruitment considerations (2024)
- Opportunity for efficiency in clinical development (2021)
- On Optimal Designs for Clinical Trials (2020)
- Implementing Unequal Randomization in Clinical Trials with Heterogeneous Treatment Costs (2019)
- A comparative study of restricted randomization procedures for multiarm trials with equal or unequal treatment allocation ratios (2018)
- Implementing Optimal Designs for Dose-Response Studies Through Adaptive Randomization for a Small Population Group (2018)
- Adaptive Optimal Designs for Dose-Finding Studies with Time-to-Event Outcomes (2018)
- RARtool (2015)
- Exact Bayesian Inference Comparing Binomial Proportions, With Application to Proof-of-Concept Clinical Trials (2015)
- Efficient and ethical response-adaptive randomization designs for multi-arm clinical trials with Weibull time-to-event outcomes. (2014)
Böcker
