What we’re about
🌈 R-Ladies Vienna is a local chapter of R-Ladies Global, an organisation that promotes gender diversity in the R community worldwide, with a mission to achieve proportionate representation of genders currently underrepresented. Our priority is to provide a community space for anyone identifying as a minority gender who is interested in and/or working with R, and welcome all genders and identities to join us in achieving inclusive collaborations.
We welcome members of all R proficiency levels, from new aspiring R users to experienced R programmers interested in mentoring, networking and expert upskilling. Our community is designed to develop our members' R skills and knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills and careers, the Free Software Movement, and contributing to the global R community!
🔗 Our website: https://rladies-vienna.github.io
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Mastodon: @RLadiesVienna
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The leadership, mentoring & teaching roles within this Community are held exclusively by minority genders, with learning participation opened to all genders. Anyone involved with R-Ladies Vienna is expected to fully respect each other, the mandate of this community, and the goodwill on which R-Ladies is founded. Please make sure you read and comply with our code of conduct and community guidelines.
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As a founding principle, there is no cost or charge to participate in any of the R-Ladies communities around the world.
Upcoming events (1)
See all- R in Industry: Biopharmaceutical Process Optimization through Advanced DoETU Wien, Freihaus - DA04E10, Vienna
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.
Expect to hear about:
🟡 Data science: Theoretical background of advanced Design of Experiments (DoE) approach using Halton designs and Latin Hypercube Designs
🟣 R programming: The design and development of R package to meet industry needs
🟢 Biopharmaceutical industry: Current industry applications of R package in solving optimization problemsIt will be an interesting sharing to see how R is applied to solve real-world problems in biopharmaceutical manufacturing, an area closely connected to our well-being. 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!
🗣️ Speaker
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.ℹ️ 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 {qrng} and {SLHD} while extending their capabilities to handle mixed data types, {spacefillngDoEs} addresses 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.
⏱️ Duration
The event will last approximately 1 to 1.5 hours, including a Q&A session. Doors open at 17:45.🗺️ Location
Seminar room DA 04 E10 (Sem.R. DA grün 04)
4th floor, green area
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Wien📍 How to find us
In the green area of Freihaus, take the lift to the 4th floor. Turn left upon exiting the lift, and follow the sign to reach the seminar room. Use this floor plan to help locate the room.
