October 3, 2024: Inaugural lecture

[Translate to English:] Antrittsvorlesung

"From sumscore to machine learning... and back?"

On October 3, 2024, Mirka's inaugural lecture titled "From Sumscore to Machine Learning... and Back" took place at the Alte Universität. During the lecture, the faculty and guests were taken on a journey through time, from the sumscore to modern time series data analysis.

We are very pleased that so many people are interested in our research and sincerely thank you for coming! more

September 16-19, 2024: DGPs Conference in Vienna

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Jan, Linus, Constantin and Mirka attend the DGPs conference.

In September, Linus, Jan and Mirka presented their researches as posters at the DGPs conference. Linus presented his master's thesis on the subject of decision trees for multilevel data, Jan his internship project on effect sizes in model-based recursive partitioning methods and Mirka her researches on local interpretation techniques for machine learning models. We are looking forward to many exciting discussions and a good time in Vienna - despite all the rain!

September 1, 2024: Welcome Constantin!

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Constantin enriches our SDS team as a PhD student.

Constantin has a bachelor's and master's degree in psychology and is now pursuing his doctorate here. During his studies, he has gained some experience with simulation studies, for example on factor analysis with EEG data, variable selection with L1 regression or stability assessment of decision trees. His research interests lie in particular in machine learning methods and longitudinal data. Constantin will supervise final theses in the bachelor's program and hold seminars in the master's program, thus contributing to teaching activities.

September 1, 2024: Welcome (back) Jan!

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Jan remains part of our SDS team as a PhD student.

After his research internship in our department this year and a short summer break, Jan is now returning to the SDS team as a PhD student. In his doctoral studies, he is working on the subject of study programs for machine learning methods. In addition, he will be supervising bachelor's theses and supporting the team in teaching activities from this semester onwards.

September 1, 2024: Welcome Linus!

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Linus starts as a PhD student at our Center for Statistics & Data Science.

Linus studied psychology at the University of Zurich. He wrote his master's thesis at the Chair of Psychological Methodology, in which he investigated how hierarchical data can be integrated into machine learning methods. His research interests lie in particular in machine learning methods and hierarchical data.

September 1, 2024: Welcome Sabine!

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Sabine supports the SDS team as a student assistant.

Sabine is currently completing her bachelor's degree in psychology at the University of Basel. During her studies, she discovered her fascination for statistics in general and - as part of her bachelor's thesis - for data simulation in particular. In a previous life, she worked as an author and literary translator from Norwegian.

July 1, 2024: Welcome Sandro!

[Translate to English:] sandro

Sandro joins our SDS Team as a student assistent.

Sandro completed his bachelor's degree in psychology at the University of Basel and is currently studying clinical psychology and neuroscience for his master's degree, also at the University of Basel. He has already gathered his first teaching experience by tutoring statistics. Sandro will support our teaching activities by creating and supervising exercises for the lectures, conducting literature research for our ongoing studies and taking on organizational tasks.

June 15, 2024: Welcome Luana!

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Luana joins our SDS team as a research intern.

My name is Luana Brunelli and I am currently studying for my Master's degree in Psychology at the University of Zurich and have developed a great interest in statistics during my studies. In my internship I will investigate the reliability of intensive longitudinal data, also known as Ecological Momentary Assessments. This type of data analysis offers exciting insights into the temporal dynamics of behavior and experience patterns. I am looking forward to further deepening my knowledge and skills in this challenging and fascinating field of research.

June 1, 2024: Welcome Mirjam!

mirjam

Mirjam starts as a scientific associate in the Center for Statistics & Data Science.

Mirjam is a mathematician by training with experience in data analysis in a range of topics (rabies transmission, antimicrobial resistance, clinical trials). Mirjam will be contributing to the teaching activities of the group by offering lectures and seminars on statistics in the Bachelor's and Master program. She will join the group part-time while continuing her work as a high school teacher.

April 17-19, 2024: Visit by Marie-Ann Sengewald & Carolin Strobl

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Project work at the intersection of psychometrics and machine learning.

Together with Carolin Strobl (University of Zurich) and Marie-Ann Sengwald (Leibniz Institute for Educational Trajectories, Bamberg, Germany), we are working on integrating an effect size measures for differential item/step functioning into a machine learning method. We were happy to welcome both collaborators in Basel to discuss the research project and future work!

March 25-26, 2024: SDS at the Applied Machine Learning Days at EPFL Lausanne

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Jan & Mirka visited the Applied Machine Learning Days.

How will machine learning and artificial intelligence change how we live, work, and interact with each other? Which strategies are used to develop new algorithms? And how can we train data engineers so that these developments are responsible and sustainable?
We were very happy to have had the opportunity to learn more about these topics - among others by Aleksander Madry from OpenAI - at the AMLD in Lausanne over the past few days.

February 15, 2024: Welcome Jan!

We are happy to welcome Jan as a new member of our SDS team.

Jan graduated with a bachelor's degree in psychology from the University of Fribourg. At the moment, he is studying psychology in the master's program at the University of Zurich. He already completed his master thesis at the chair of psychological methodology in which he evaluated statistical methods for assessing test fairness. During his research internship, Jan will contribute to a research project at the intersection of psychometrics and machine learning. His primary focus until June will be to conduct simulation studies to assess the effectiveness of a psychometric effect size in a machine learning method.

February 1, 2024: Start of the Center for Statistics & Data Science

mirka

From February 1, Mirka Henninger starts as the new professor for Statistics and Data Science.

Mirka studied psychology at the University of Mannheim and the Ludwig-Maximilian-University Munich, and received her doctorate from the University of Mannheim in 2019. Starting 2020, she worked as a postdoctoral researcher and from 2023 onward as a senior researcher for psychological methods at the Department of Psychology of the University of Zurich.

The research focus of the new Center is the development and assessment of psychometric models, machine learning methods, and multilevel modeling approaches and to test their applicability in psychological research.