Artificial Intelligence in Management (AI)
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Team

Head of Institute

Prof. Dr. Stefan Feuerriegel

▪ Research focus on AI for businesses, public organizations and health management
▪ Dual affiliation to the LMU Faculty of Mathematics, Informatics and Statistics
▪ Incoming principal investigator at the Munich Center for Machine Learning (MCML)
▪ Member of the LMU Innovation & Entrepreneurship Center (IEC)
▪ Fellow at the Konrad Zuse Schools of Excellence in AI

Research Team

M.Sc. Dominik Bär

▪ Social media analytics
▪ Statistical analysis
▪ Applied machine learning
▪ Predictive analytics
▪ AI for good

M.Sc. Dennis Frauen

▪ Causal machine learning
▪ Treatment effect estimation
▪ Longitudinal data analysis
▪ Causal representation learning
▪ Deep learning

M.Sc. Dominique Geißler

▪ Social media analytics
▪ Applied machine learning
▪ Causal machine learning
▪ Fairness in AI
▪ AI for good

M.Sc. Abdurahman Maarouf

▪ Social media analytics
▪ AI for business
▪ Applied machine learning
▪ Predictive analytics
▪ AI for good

M.Sc. Valentyn Melnychuk

▪ Causal machine learning
▪ Treatment effect estimation
▪ Causal representation learning
▪ Causal structure learning
▪ Probabilistic modelling

M.Sc. Simon Schallmoser

▪ Headwind project (= hypoglycaemia warning system to prevent road traffic accidents)
▪ Statistical analysis
▪ Predictive analytics
▪ AI for medical applications
▪ AI for good

M.Sc. Jonas Schweisthal

▪ Causal machine & deep learning
▪ Treatment effect estimation
▪ AI in healthcare
▪ Zero-/ few-shot learning
▪ Domain adaptation

Affiliated Researcher

Dr. Milan Kuzmanovic

▪ Causal machine learning
▪ Treatment effect estimation
▪ ML in healthcare
▪ Statistical analysis
▪ Applied machine learning

bild_team_boot

»Science is a team effort«

PhD Positions

We are a motivated team, excited about AI. Our research is driven by the strong desire to conquer the grand challenges of our society, by bringing AI into healthcare, curbing fake news with AI tools, fighting the coronavirus epidemic with data-driven insights, automating marketing with AI, and developing new tools for “AI for Good”.

If you wish to apply on your own initiative please find further information here.

Alumni

Prof. Dr. Mathias Kraus
Deep Learning in Business Analytics: Methods and Applications, 2020
First placement: Friedrich-Alexander-University of Erlangen-Nürnberg

Dr. Bernhard Kratzwald
Domain Adaptation in Neural Question Answering, 2021
Start-up founded: EthonAI

Dr. Tobias Hatt
Personalized Medicine using Real-World Data: A Causal Machine Learning Approach, 2022

Dr. Nicolas Banholzer
Modeling the effects of non-pharmaceutical interventions during the COVID-19 pandemic, 2022

Dr. Daniel Tschernutter
Advances in Data-Driven Decision-Making: A Mathematical Optimization Perspective, 2022

Dr. Christof Naumzik
Leveraging User-generated Data in Business Analytics via Bayesian Modeling, 2022

Dr. Milan Kuzmanovic
Advances in Causal Machine Learning for Health Management, 2022


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