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:
- Computational Methods and Matlab
- Linear Control
- Object Oriented Programming with Python
- AI and Robotics
- Signal Processing and Data Analysis
- Machine Learning for Human-Machine Interaction
- Introduction to C Programming
- Introduction to C++ Programming
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 Github, ResearchGate, GoogleScholar, Linkedin, 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).
silviatulli.com 