Workshop at Tübingen AI Center (LUWSI)
I’m presenting some work in progress at LUWSI, the 2nd edition of the workshop on Learning Under Weakly Structured Information (LUWSI) in Tübingen. Extremely...
Hi there! 
I am a final year PhD Candidate supervised by Professor Thomas Augustin at the Department of Statistics at Ludwig-Maximilians-Universität (LMU) Munich.
My research revolves around optimization, online learning, and decision theory. I try to render such methods more reliable by representing the involved uncertainties, heavily relying on imprecise probabilities. I am also interested in interpretable machine learning and anything Bayesian. My research has been published in Q1 journals (Machine Learning, Knowledge-Based Systems) and A*/A conferences (NeurIPS, ICLR, UAI, EMNLP).
I enjoy teaching a lot and teach several (under)graduate classes at our department. I also (co-)supervise bachelor and master theses. Potential thesis topics under my supervision can be found here.
I am part of the the Graduate Center of the Bavarian Research Institute for Digital Transformation (bidt) within the Bavarian Academy of Sciences (BAS). The graduate center is a great place to learn about the many facets of the digital world that are beyond my own research. Moreover, I am supported by the mentoring program of the Faculty of Mathematics, Computer Science and Statistics at LMU Munich. My mentor is Professor Konstantinos Panagiotou. Parts of my research are further funded by the Federal Statistical Office of Germany within the cooperation project “Machine Learning in Official Statistics”.
Recent posts
Talk at DAGStat in Berlin
I’m giving a talk at DAGStat, one of Germany’s major conferences on Statistics. I’ll present our paper on reciprocal learning on March 27 in session 21. Let ...
Two papers accepted at NeurIPS 
Pretty excited that both of my first-ever NeurIPS submissions got accepted, one of which as spotlight! This was a great team effort with Christoph Jansen, Ge...
Paper Accepted at EMNLP
Happy to share that our paper “Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation” has been accepted for EMNLP 2024 Find...
Research Stay at Harvard University 
I am spending this fall at Harvard University in Cambridge (MA, USA) to work with James Bailie and Xiao-Li Meng. We will investigate connections between onli...
Talk at ETH Zürich 
I am giving a talk on reciprocal learning at the Seminar für Statistik (SfS), ETH Zürich on August 14th as part of the SfS-PhD Presentations. Drop me a messa...
Paper Accepted at Knowledge-based Systems
Great news! Our paper “Imprecise Bayesian Optimization” has been accepted for publication in Knowledge-based Systems! This is joint work with my supervisor T...
Paper Accepted at DMLR@ICML Workshop 
Happy to share that the paper “Bayesian Data Selection” has been accepted at the 5th Workshop on Data-Centric Machine Learning (DMLR) at the International Co...
Paper Accepted at SMPS
Our paper “Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision” has been accepted at the 11th International Conference on Soft ...
On my way to ICLR 2024 
I will attend ICLR 2024 to present our paper “Partial Rankings of Optimizers”, which has been accepted at the ICLR 2024 Tiny Papers Track. Great collaboratio...
Talk on ShapleyBO at Integreat, April 30th, 14.15 CET
I am presenting our recent paper on explaining Bayesian Optimization by Shapley values at Integreat (Norwegian research center). The talk will be openly acce...
1st Workshop on ML under Weakly Structured Information
Our group is organizing a workshop on Machine Learning under Weakly Structured Information at LMU on May 3 and 4. We are looking forward to talks by great sp...
Paper Accepted at ICLR
Our paper “Partial Rankings of Optimizers” has been accepted for presentation at the International Conference on Learning Representations (ICLR) 2024 Tiny Pa...
Attending WUML in Munich 
I will attend the Workshop on Uncertainty in Machine Learning (WUML) in Munich, organized by Eyke Hüllermeier’s Chair. If you are also attending and want to ...
Paper Accepted in Machine Learning
Our paper “Learning De-Biased Regression Trees and Forests from Complex Samples” has been published in Machine Learning. The paper got accepted at the journa...
Talk and Poster at ACML 2023 in Istanbul
I will give a talk and present a poster on our recent work on de-biased regression trees and random forests at the 15th Asian Conference on Machine Learning ...
Giving a Talk at BAYSM
Looking forward to attending this year’s BAyesian Young Statisticians Meeting (BAYSM) hosted by the University of Connecticut, where my short paper has been ...
Talk at KI 2023 in Berlin
Giving a talk on our recent work on Bayesian pseudo-label selection at the 46th German Conference on Artificial Intelligence (KI 2023) in Berlin. See the con...
Poster at AABI
Our poster on how to select pseudo-labels in a Bayesian way (paper @UAI) was accepted for the Fifth Symposium on Advances in Approximate Bayesian Inference A...
Two Papers Accepted at UAI
Thrilled to annouce that our papers “Approximately Bayes-Optimal Pseudo-Label Selection” and “Robust Statistical Comparison of Random Variables with Locally ...
Paper Accepted at ISIPTA
Glad to share that our paper on robust pseudo-label selection was accepted for the 13th International Symposium on Imprecise Probabilities: Theories and Appl...
Will Join the Graduate Center at Bavarian Academy of Sciences 
Thrilled to annouce that I will become a fellow at the graduate center by the Bavarian Research Institute for Digital Transformation (bidt) within the Bavari...
Talk in Young Statisticians Lecture Series by IBS Early Career Group
I will give a talk on “Learning Under Weak Supervision: Some Insights From Decision Theory” as part of the Young Statisticians Lecture Series organized by th...
Paper Accepted at SUM
Very happy to share that our paper on cautious superset learning with applications to election polls was accepted for the 15th International Conference on Sc...
Paper Accepted at IUKM
Our paper “Accounting for Gaussian Process Imprecision in Bayesian Optimization” was accepted at the 9th International Symposium on Integrated Uncertainty in...
Under Construction
This site is currently under construction. Stay tuned for updates. You might also want to visit my LMU Website.