I am an Assistant Professor at Sorbonne University, administering tutorials and practical exercises at the Faculty of Science and Engineering (Computer Science Department). In parallel, I am developing a graduate-level educational module covering basic principles and techniques of Human-Interactive Robot Learning.
As a Researcher, I am interested in developing algorithms to allow AI systems to better learn and collaborate with humans. I worked on inverse RL approaches to enable machine learning from contrastive examples and I’m interested in extending this work to incorporate human modeling and enhance AI alignment.
Research Interests (among others):
- Explainable/Interpretable Artificial Intelligence
- Interactive Robot Learning
- Reinforcement Learning and Inverse Reinforcement Learning
Courses I am currently teaching/assisting:
- Programming Element 1 (Formal Sciences)
- AI and Robotics
- Machine Learning for Human-Machine Interaction
Courses I taught/assisted:
- Computational Methods and Matlab
- Linear Control
- Object Oriented Programming with Python
- Signal Processing and Data Analysis
- 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, Python Programming.
Follow my updates on Github, ResearchGate, GoogleScholar, Linkedin, and Twitter. I am co-hosting seminars and podcast sessions on Talking Robotics.
Contact me: tulli[at]isir.upmc.fr.
My CV.
silviatulli.com 