Teaching
DATA 621 (Fall 2024): Neural Networks and Deep Learning (PhD course)
AI-Assisted Design Bootcamp
- It has been really nice to host this 2-week bootcamp at W&M, and wonderful interaction with all the attendees which I want to thank for their active participation and projects. Below a link to the Git Book of this experience, and a picture with the participants
- https://aid2e.github.io/boot-camp-2024/intro.html
Data Science for Fusion (AI4Fusion Summer School, W&M):
DATA 644 (Spring 2024): Bayesian Reasoning in Data Science (PhD course)
HUGS Lectures (Jefferson Lab, May-June 2023): Machine Learning for Nuclear Physics and the Electron Ion Collider
DATA 201 (Spring 2023): Introduction to Data Science
DATA 340 05 (Fall 2022): Bayesian Reasoning in Data Science
- https://cfteach.github.io/brds (lectures material will appear on a weekly basis)
- Syllabus
National Nuclear Physics Summer School (NNPSS) @MIT (July 2022) : AI for Detector Design
Machine Learning in High Energy Physics @INFN, Italy (December 2021)
Artificial Intelligence for nuclear Physics Winter School (January 2021)