PhD in Artificial Intelligence · Oregon State University
Matteo Ceriscioli
I am a PhD student in Artificial Intelligence at Oregon State University, working at the intersection of causality and AI under the supervision of Prof. Karthika Mohan. My objective is to develop the foundations for robust and reliable AI systems that understand the world, are able to adapt to changes, and operate safely.
"Robust AI doesn't just react to change, it learns the rules behind it."
Earlier, I was a Research Trainee at RIKEN AIP in Japan, where I worked in the Causal Inference team led by Prof. Shohei Shimizu. I also interned at Vodafone Germany in the Deep Insights Consumer Data Science team, under the supervision of Dr. Rolf Bardeli, where I developed causal reasoning tools and designed Graph Neural Networks for community detection tasks as part of my Master's degree in Artificial Intelligence and Data Science at the Heinrich-Heine University of Düsseldorf, with Prof. Paul Swoboda as my thesis supervisor. Before that, I completed my Bachelor's degree in Mathematics at the University of Trento, Italy, where I wrote a thesis on Hopfield networks under the supervision of Prof. Alberto Montresor.
Publications
Talks
Eliciting Causal Knowledge from Agents.
• The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26) Doctoral Consortium, 21st January 2026. Doctoral Consortium · 21st January 2026.
Robust AI doesn't just react to change, it learns the rules behind it.
• Institute of Scientific and Industrial Research (SANKEN), Osaka University, 20th June 2025.
, Osaka University · 20 June 2025.
• The 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-25) W1: Adaptive and Learning Agents, 19th May 2025.
W1: Adaptive and Learning Agents · 19 May 2025.
• Oregon State University AI Week, 30th April 2025.
· 30 April 2025.
Service
Causal Intelligence Association at Oregon State University.
18th edition of the Adaptive and Learning Agents workshop (ALA) at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS-26), reviewing and evaluating submissions.
2nd edition of the Causal Neurosymbolic AI workshop (Causal-NeSy) at the European Semantic Web Conference (ESWC-26), reviewing and evaluating submissions.
Behaviormetrika, an international peer-reviewed journal of the Behaviormetric Society of Japan, publishing research in data science and statistical modeling.
39th Annual Conference on Neural Information Processing Systems. December 1–8, 2025. San Diego, California, USA.
39th Annual AAAI Conference on Artificial Intelligence. February 25 – March 4, 2025. Philadelphia, Pennsylvania, USA.
Let's Connect.
Open to research collaborations and interesting conversations about causality and AI.