Independent software engineering and technical consulting services specializing in scientific computing, pharmacometrics software architectures, custom simulation tools, and full-stack technical solutions.
Core Services & Capabilities
- Scientific Software Engineering & Architecture: Designing modular, high-performance software systems for modeling & simulation pipelines and scientific data processing using R and Python.
- PK/PD & Simulation Platform Development: Building domain-specific simulation frameworks, automated Non-Compartmental Analysis (NCA) toolkits, and multi-backend engine abstraction (such as mrgsolve and rxode2).
- MIPD/TDM Software & In-Silico Trial Simulations: Developing Model-Informed Precision Dosing (MIPD) applications and conducting retrospective in-silico trial simulations to evaluate advanced dosing algorithms (e.g., Model Predictive Control) against clinical standard of care.
- Pharmacometrics Modeling & Simulation Execution: Conducting population PK/PD simulation projects, scenario analyses, and clinical trial simulations for pharmaceutical and biotech clients.
- Language Integration & API Design: Engineering language-agnostic JSON interfaces, REST APIs, and seamless inter-process communication between backend simulation engines and modern user interfaces.
- Full-Stack & Desktop Application Development: Architecting interactive data platforms and standalone desktop tools using Shiny for Python, modern web front-ends, and desktop packaging solutions.
- Reproducible Data Pipelines & Automation: Implementing structured, reproducible workflows and post-processing pipelines using tools like the R
targetspackage. - Open-Source Maintenance & Extension: Developing, documenting, and extending CRAN/GitHub open-source ecosystems (such as S4/OOP-based R packages and simulation toolkits) following static typing and tidyverse standards.