Aurelia Tamò-Larrieux
Aurelia Tamò-Larrieux is an Associate Professor at the University of Lausanne (UNIL), Faculty of Law, focusing on digital and computational law. Aurelia specializes in research at the intersection of law and digital technologies with a particular focus on privacy, data protection, design approaches, transparency of automated decision-making and artificial intelligence, automatically processable regulation, and trust in automation. Aurelia’s scientific publications those subject matters are available open access.
Vlada Druta (PhD candidate)
Vlada Druta is a doctoral candidate at Lausanne University (UNIL-FDCA), specializing in artificial intelligence in the judiciary. Her expertise includes risk assessment tools in the justice system, information retrieval systems, technology adoption in the judiciary, and the impact of AI on human rights and human dignity.
Manuela Paolini e Silva (PhD candidate)
Manuela Paolini e Silva is a doctoral candidate at Lausanne University (UNIL-FDCA) working on the regulation of artificial intelligence in Latin America and the EU. At UNIL, she teaches and researches digital and computational law, regulation and governance of artificial intelligence, and automation of law.
Dr. Clement Guitton
Clement Guitton is a postdoctoral researcher at the University of St. Gallen, focusing on topics around law and technology, or more generally on understanding and developing policy solutions around technology. He has degrees in telecommunication engineering, international affairs, and finance. In the past, he worked in counter‑espionage, consulting at the International Telecommunication Union and as a political analyst for a large reinsurance company.
Dr. Jakob Merane
Luka Bekavac (PhD candidate)
Luka Bekavac is a doctoral candidate at the University of St. Gallen. His research focuses on understanding and addressing the systemic risks posed by Very Large Online Platforms, combining methods from computer science, tech law and social sciences to study how platforms personalized recommender systems influence us, while developing tools to enhance transparency and accountability in their operation.
Yongle Chao (PhD candidate)
Stephan Mulders (PhD candidate)
Vageesh Saxena (PhD candidate)
Vageesh Saxena is a PhD candidate at Maastricht University researching how machine learning can uncover criminal activity in illegal online markets. His work blends AI, digital forensics, and criminal profiling to detect hidden patterns in illicit networks.
Iris Xu (PhD candidate)
Iris Xu is a PhD candidate at Maastricht University, where she researches the effectiveness and acceptability of personalization for user privacy disclosure and decision-making. Her research focuses on social media users across China, the EU, and the US, using mixed methods and drawing from multiple disciplines.
Johannes David
MA students (ongoing)
Mathis Rodriguez (UNIL)
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