Physician and biostatistician with 9+ years of pharmaceutical industry experience skilled in pharmacometric modeling, adaptive trial design, and regulatory submissions (EMA, FDA). Experienced in dose-response analyses, and PK/PD studies. Expert in statistical programming (R), mixed-effects modeling, survival analysis, adaptive trial design and sample size estimation.
MSc in applied biostatistics, 2020
University of Veterinary Medicine Budapest
Doctor of Medicine, 2015
Semmelweis University, Budapest
Responsibilities include:
Conducted mixed-effects modeling and pharmacokinetic/pharmacodynamic (PK/PD) analyses for complex study designs across cardiovascular and topical products.
Developed simulation-based adaptive sample size estimations using survival analysis, improving trial efficiency and reducing study timelines.
Led statistical reanalyses for bioequivalence and drug-drug interaction studies, aligning outputs with evolving regulatory expectations.
Provided statistical input for Scientific Advice Procedures and product development strategy, contributing to regulatory dossier quality.
Authored Clinical Development Plans and methodological justifications for clinical trials and product registration strategies.
Collaborated with cross-functional teams including regulatory affairs and clinical operations to align statistical deliverables with project milestones and dossier timelines.
Responsibilities include:
Served as Lead Statistician for 5+ adaptive clinical trials, specializing in mixed-effects modeling, simulation-based sample size calculations, and longitudinal analyses.
Provided strategic statistical guidance on regulatory interactions (EMA, FDA), Scientific Advice Procedures, and post-authorization safety studies (PASS).
Developed comprehensive Statistical Analysis Plans (SAPs), Clinical Study Reports (CSRs), and regulatory-compliant statistical programming outputs.
Conducted signal detection and safety data reviews to reinforce pharmacovigilance strategies and support robust regulatory submissions.