I am currently Professor and Dean of Studies at the Department of Statistics at the Ludwig‑Maximilians‑Universität München (LMU Munich), Germany. My research focuses on imprecise probabilities to achieve reliable statistical inference, machine learning, and decision making under complex uncertainty.
I am among the founding members of SIPTA and have previously been a member of the 1st, 2nd, and 7th Executive Committees. To date, I have participated in every edition of the ISIPTA meetings.
If elected, I will leverage my experience to try to:
maintain and even improve SIPTAs importance for young researchers,
expand SIPTA’s visibility through workshops and special sessions at related conferences,
promote the core ideas of imprecise probabilities in data-driven large-scale applications.
My goal is twofold. On the one hand, I plan to continue helping with blog posts and with the organization of the seminars (and with any other task that the Committee may find useful). On the other hand, I plan to continue making SIPTA known to the ML and AI crowd at large. To achieve this, I always conclude my seminars with a slide redirecting to the SIPTA website, and I always "plug" the society's initiatives to colleagues and hosting institutions.
I am an Assistant Professor of Statistics at Wake Forest University. I earned my Ph.D. in Statistics from North Carolina State University in 2021, where I also completed a one-year postdoctoral fellowship before joining the Wake Forest faculty. My research centers on the foundations of statistical inference, with a focus on developing a framework that bridges frequentist and Bayesian perspectives through the use of imprecise probabilities.
In addition to advancing this framework for use in modern statistical problems, I aim to raise awareness within the statistics community about the potential benefits of incorporating imprecise probabilities into mainstream statistical thinking.
I have been a researcher in imprecise probabilities for more than 30 years, and as a founding member of SIPTA, I was its first president for two consecutive terms. I have also served as secretary and treasurer, have been an at-large member for quite a number of consecutive terms, and have been involved in organising a number of ISIPTA conferences and SIPTA Schools, where I’ve also taught a number of courses.
I want to run for at-large member because I have an ongoing interest in SIPTA’s future, and would like to contribute to helping a journal get off the ground.
I'm an Assistant Professor in Data Science at the School of Computing & Communications (SCC) of Lancaster University Leipzig. Before, I was a postdoc at the Department of Statistics of LMU Munich, where I finished my habilitation in January 2025 with a thesis on the decision theoretic foundations of machine learning. During summer 2022, I was appointed as an interim W2-professor for Statistics at LMU. In 2018, I earned a PhD in Statistics with a thesis on decision making in complex information settings (supervisor: Thomas Augustin).
In a nutshell, I utilize methods from decision and game theory as well as the theory of imprecise probabilities to make machine learning (ML) methods more reliable and robust to their implicit assumptions. My work touches on various areas of ML such as uncertainty quantification, trustworthy ML, robust statistical inference and analysis of non-standard data and is published in major AI/ML venues as IJAR, JMLR, NeurIPS and UAI.
Starting with the SIPTA Summer School in 2014, I have regularly attended the ISIPTA conferences (with the exception of the 2019 edition, in which I unfortunately could not participate) since then and I have always greatly enjoyed the friendly atmosphere, the inspiring talks and the vivid and open exchange of ideas. I serve as at-large member of SIPTA in the current period and gave a talk in the SIPTA seminar series on IP decision making in machine learning. Further, I was part of the organization committee of WPMSIIP 2015.
I would be honored to be (re-)elected as an at-large member of SIPTA. As an at-large member, I would enthusiastically try to support the visibility of the IP community, especially in the areas of statistics and machine learning, where my own research is located. I would specifically address this by making even more researchers aware of SIPTA and the great events associated with it.
I am an assistant professor at Eindhoven University of Technology, with about 13 years of experience in research on imprecise probabilities.
My imprecise-probabilistic journey started as a PhD student at Ghent University under the supervision of Gert de Cooman and Enrique Miranda.
Since then, I have visited Carnegie Mellon University, where I worked with Teddy Seidenfeld, and have been a post-doctoral researcher at the University of Technology of Compiègne with Sébastien Destercke and at the University of Bristol with Jason Konek.
For the past two years, I have served as an at-large member of SIPTA, during which I assisted the executive editor with the SIPTA blog. You can learn more about me and my work on my website: https://arthurvancamp.github.io.
I have gained much from being a member of the SIPTA society.
It has exposed me to interesting research topics and I have made international friends through its events.
Therefore, I would like to give back to this community and that's why I'm running as an at-large member.
I think the recent developments, such as the new website and SIPTA Seminars, are very positive.
It is important to raise awareness of SIPTA among other communities that are interested in imprecise probabilities, such as the Formal Epistemology Workshop, but may not be familiar with us.
If elected, I will offer my help wherever it is needed.