About me

I am an Assistant Professor at Sorbonne University, currently administering tutorials and practical exercises at the Faculty of Science and Engineering.

As a Researcher, I am interested in developing algorithms to allow AI systems to explain their behavior to humans and better learn from each other. I conducted my research thanks to a Marie Skłodowska-Curie ITN Fellowship.  I obtained my PhD in Computer Science and Engineering at Técnico in the research group of Artificial Intelligence for People and Society  (GAIPS – INESC-ID) co-advised by Ana Paiva, Francisco Melo, and Mohamed Chetouani. I spent a large part of my PhD at Sorbonne University at Institut Systèmes Intelligents et de Robotique (ISIR). 

Research Interests (among others):

  • Explainable/Interpretable Artificial Intelligence
  • Interactive Machine Learning
  • Reinforcement Learning and Inverse Reinforcement Learning

Courses I am assisting/teaching:

I’m appreciative to have the opportunity to teach evening classes at Sciences Po; Data Science for Public Policy 1, Data Science for Public Policy 2.

Follow my updates on GithubResearchGate, GoogleScholarLinkedin, and Twitter. View my seminars on Talking Robotics (of which I’m co-founder).

Contact me: silvia.tulli[at]gaips.inesc-id.pt or tulli[at]isir.upmc.fr.

My CV (for work or collaboration).