Home | Research | Research Blog

Research Blog

Welcome to our research blog, where we proudly showcase the talents and achievements of our researchers, with a special focus on our junior members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the ever-evolving fields of AI and machine learning.

Link to Epistemic Foundations and Limitations of Statistics and Science

19.12.2024

Epistemic Foundations and Limitations of Statistics and Science

Blogpost on the Replication Crisis

The Open Science Initiative in Statistics and the MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers from diverse fields to discuss one of science’s most …

Link to Understanding Vision Loss and the Need for Early Treatment

11.12.2024

Understanding Vision Loss and the Need for Early Treatment

Researcher in Focus: Jesse Grootjen

MCML Junior Member Jesse Grootjen is writing his doctoral thesis at the Chair of Human-Centered Ubiquitous Media at LMU Munich. The group conducts research at the crossroads of human computer interaction, media technology, and ubiquitous computing. The overall research question is: how can we enhance human abilities through digital technologies?

Link to AI and Weather Predictions

04.12.2024

AI and Weather Predictions

Researcher in Focus: Kevin Höhlein

MCML Junior Member Kevin Höhlein is a PhD student at the Chair of Computer Graphics and Visualization (TUM), researching applications of data science and machine learning techniques in the context of meteorological data analysis.

Link to Enhancing the Integrity of Social Media With AI

28.11.2024

Enhancing the Integrity of Social Media With AI

Researcher in Focus: Dominik Bär

MCML Member Dominik Bär is a researcher at the Institute of Artificial Intelligence (AI) in Management at LMU, working within the research group of Stefan Feuerriegel. He is pursuing his PhD with a focus on social media analytics.

Link to Exploring the Impact of AI in Medicine

12.11.2024

Exploring the Impact of AI in Medicine

Researcher in Focus: Anna Reithmeir

MCML Junior Member Anna Reithmeir is writing her doctoral thesis at the Chair of “Computational Imaging and AI in Medicine” at TUM. Her work addresses the complexity of aligning images from different times or modalities, enabling the comparison of anatomical changes such as tumor growth.

Link to Get to Know MCML Junior Member Lukas Gosch

08.04.2024

Get to Know MCML Junior Member Lukas Gosch

Created During the First MCMLxDJS-Workshop

MCML Junior Member Lukas Gosch conducts research on how quickly - or slowly - AI algorithms react to changes. His field of work is the reliability of artificial intelligence, or more precisely, of machine learning algorithms. As these algorithms are playing an increasingly important role in our lives, he finds the sociological, political and …

Link to Get to Know MCML Junior Member Maximiliane Windl

02.04.2024

Get to Know MCML Junior Member Maximiliane Windl

Created During the First MCMLxDJS-Workshop

MCML Junior Member Maximiliane Windl’s research focuses on understanding and mitigating privacy concerns in ubiquitous computing systems. Her main concern is one thing: how can people become more aware of what data these devices are constantly collecting?

Link to Get to Know MCML Junior Member Lisa Wimmer

18.03.2024

Get to Know MCML Junior Member Lisa Wimmer

Created During the First MCMLxDJS-Workshop

MCML Junior Member Lisa Wimmer researches the practicability of model predictions. By supplementing them with a reliable statement about their statistical certainty or uncertainty, she aims for improving the underlying models.

Link to Get to Know MCML Junior Member Martin Binder

11.03.2024

Get to Know MCML Junior Member Martin Binder

Created During the First MCMLxDJS-Workshop

Artificial intelligence only becomes a disadvantage if it is overestimated or used incorrectly, says MCML Junior Member Martin Binder. In his research, he improves algorithms and, above all, simplifies the work of other scientists.

Load more