Members of the Lab
Aurelia Tamò-Larrieux is an Associate Professor at the University of Lausanne (UNIL), Faculty of Law, focusing on digital and computational law. She leads the Legal Design & Code Lab at UNIL. 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 on those subject matters are available open access.
Johannes David is PhD candidate with a background in machine-learning and information systems. His research focuses on access to justice and the development and co-design of legal AI tools.
Vlada Druta is a doctoral candidate at the University of Lausanne (FDCA-UNIL). She is 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.
Alice Palmieri is a doctoral candidate at the University of Lausanne (FDCA-UNIL). She specializes on platform regulation and analyzes systemic risks stemming from very large online platforms and search engines. Is is part of an interdisciplinary SNSF funded project analyzing the concentration of control and data within online platforms.
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.
Researchers affiliated with the Lab
Dr. Yongle Chao is a postdoctoral researcher at Shanghai Jiao Tong University. His research primarily focuses on data access and data portability rights, aiming to address the information asymmetries prevalent in the current data economy.
Stephan Mulders is a lawyer and external PhD candidate at the University of Maastricht. His research focuses on data protection law and damage claim under the GDPR.
Dr. Vageesh Saxena is a postdoctoral researcher 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 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.
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