About Me

ORCID Github

I’m a statistical programmer and epidemiologist. My work focuses on building tools to simplify and improve the analysis of research data, spreading open science practices, and improving reproducibility in research.

I tend to do statistics in R, create deployment projects in Python/SQL and distribute with Docker, and I write about statistics and simulations from time to time.

Tools & Skills

Languages: R, Python, SQL, Go, HTML/CSS

Areas: Statistical modeling, simulation, data visualization, R package development, web scraping

Camping, traveling, and Polaroids

Experience

Company	Location	Role & Responsibilities
LMU Open Science Center	Munich, Germany	Developer: create technical solutions for open science and reproducible research
Boehringer Ingelheim	Biberach, Germany	Master’s Thesis: RECIST 1.1: An Analysis of the Classification Stability of a Tumor Measurement Scale in Oncology Clinical Trials
Novartis Pharma	Basel, Switzerland	Internship: development of R package risk assessment tools and Shiny applications
LMU IBE	Munich, Germany	Research Assistant: development of {ordinalsimr} R package for simulating ordinal outcomes data

LMU Open Science Center

Munich, Germany

Developer

Creating technical solutions for open science and reproducible research

Boehringer Ingelheim

Biberach, Germany

Master’s Thesis Candidate

RECIST 1.1: An Analysis of the Classification Stability of a Tumor Measurement Scale in Oncology Clinical Trials

Novartis Pharma

Basel, Switzerland

Intern

Development of R package risk assessment tools and Shiny applications

LMU IBE

Munich, Germany

Research Assistant

Development of {ordinalsimr} R package for simulating ordinal outcomes data