Recent & Upcoming Talks

A presentation of the current research projects of the lab for the new students of the Computer Science department.

A presentation of the current research projects of the lab.

A comprehensive overview of fundamental concepts, deep learning methods and critical challenges of Network Biology in Network Biology, Network Medicine, and Network Pharmacology.

A comprehensive overview of fundamental concepts, deep learning methods and critical challenges of Network Biology in Network Biology, Network Medicine, and Network Pharmacology.

Presented a methodology (and related algorithms) to automatically induce a hierarchical structure from proximity relations between disease modules. We compared the interactome-induced disease taxonomy with a human-curated disease taxonomy.

In this tutorial, we explored challenges in retention, and presented machine learning solutions to the difficulties in predicting student dropout rates from online courses.

Developed a deep graph learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks.

A presentation about the current research projects of the lab. As research project for the “AI for Health and Medicine” workshop, I presented the first version of RW², a novel graph deep learning model for predicting disease-gene associations.