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. She has a background in law and economics and 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 subjects are open access and she has presented her research at numerous international conferences. During her doctoral research, which was fully funded by a scholarship from the Swiss National Science Foundation, Aurelia analyzed the application of the concept of data protection by design and default in an Internet of Things environment. Her research “Designing for Privacy and Its Legal Framework” was published by Springer and won the Issekutz and SIAF award.
Prior to her joining UNIL, Aurelia worked as an Assistant Professor for Privacy, Security, and Computational Law at Maastricht University and was an active member of the Law and Tech Lab and the Digital Legal Lab network in the Netherlands, where she hosted numerous events and contributed to research and education within the field of digital legal studies. Aurelia is an active member of the research community, acts as a Principal Investigator on research projects related to encoding legal norms, organizes workshops and conferences on topics ranging from ethical, legal, and social implications of social robots to the creation of privacy-friendly and trustworthy technologies, is a member of the Social Responsibility Working Group at the H2020 Cost Action 19121 GoodBrother, and founded academic initiatives to connect young researchers and provide a platform to present their research on a podcast series. She was a visiting scholar at the Institute of Pervasive Computing at ETH Zurich, the Berkman Klein Center for Internet & Society at Harvard University, and at the Institute of Computer Science at the University of St. Gallen. Furthermore, Aurelia has taught various courses and given multiple guest lectures, notably at Harvard University, the University of Geneva, the University of St. Gallen, and Mykolas Romeris University.
Vlada Druta
Vlada Druta began her legal journey with a bachelor’s degree at European Law School, Maastricht University. To explore various legal fields, she did an internship at Notary Daniela Țurcan, focusing on contract and inheritance law; at Țurcan Cazac law firm, focusing on labor and competition law; and at Brož & Sokol & Nová, where she developed a strong interest in criminal law. This interest led her to pursue a master’s degree in Criminology, Forensics, and Law at Maastricht University. During her master’s, she developed a keen interest in the impact of technology on human rights. Currently, she 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
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. She holds a master’s degree in European and International Law from Maastricht University (Honours) and a 5-year bachelor’s degree in Law from Pontifícia Universidade Católica de São Paulo (Honours). Before joining Lausanne, Manuela worked as an in-house counsel for tech companies operating between Latin America and the EU, where she developed her strong interest and expertise in the intersection of law and digital technologies. At UNIL, she teaches and researches digital and computational law, regulation and governance of artificial intelligence, and automation of law.
Affiliated researchers
Dr. Clement Guitton
Iris Xu (PhD candidate)
Yongle Chao (PhD candidate)
Stephan Mulders (PhD candidate)
Vageesh Saxena (PhD candidate)