Date and Time
Wednesday, 21 May 2025
6:00 PM - 7:30 PM CEST
Venue
Seminar room DA04E10 (Sem.R. DA grün 04)
4th floor, green area TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Wien
About
In our May 2025 meetup, we explore the interdisciplinary application of data science in the biopharmaceutical industry. Christina Yassouridis, Senior Data Scientist from Boehringer Ingelheim, will share with us how she designs and develops an R package which applies Design of Experiment (DoE) approaches to optimize biopharmaceutical manufacturing process.
It will be an interesting sharing to see how R is used to meet industry needs. The theoretical background of the DoE approaches involved will also be introduced, which allows R users without field knowledge to follow along.
R-Ladies Vienna promotes gender diversity in the R community. All genders and skill levels in R are welcome to our events. We look forward to seeing you!
Abstract
Biopharmaceutical manufacturing encompasses complex processes involving living organisms and multiple interacting steps. To optimize these processes, data scientists develop digital representations using machine learning models to identify optimal process parameters across multidimensional experimental spaces. For Gaussian process regression models, evenly distributed experimental points yield superior results.
The R package spacefillngDoEs, developed by Christina, integrates and extends two established approaches:
- Halton designs: These low-discrepancy sequences enable efficient quasi-Monte Carlo methods for numerical integration and sampling in high-dimensional spaces.
- Latin Hypercube Designs: This statistical method generates near-random parameter value samples from multidimensional distributions. By combining functionalities from the R packages
qrngandSLHDwhile extending their capabilities to handle mixed data types,spacefillngDoEsaddresses specific industry requirements.
In this presentation, Christina will introduce the theoretical foundations of generalized Halton designs, demonstrate the R package’s functionality, and showcase its current industrial application.
Speaker
Christina Yassouridis
Christina is currently a Senior Data Scientist at Boehringer Ingelheim, one of the world’s largest pharmaceutical companies. With a PhD in Applied Statistics, Christina has extensive experience as a data science professional in both industry and consulting, and as a researcher at BOKU.