Fwd: *cyan* Invitation to Speak at Mila Bio-AI Seminar Series

**Talk Title**

AI in Biomedicine: Applications in Characterizing Variant Effects and
Drug Binding

**Abstract**

My talk will focus on key applications of deep learning in biomedicine
and artificial intelligence. In particular, I will discuss how deep
learning can be used to understand variant impact and how it has
revolutionized drug discovery and molecular design. Variant discovery
is essential for understanding how human genetic variation contributes
to disease and influences individual responses to pharmaceuticals.
Molecular discovery, in turn, is crucial for developing drugs that
effectively bind to and modulate protein targets. I will cover the
following papers in my talk (+ some others):

The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
J Rozowsky et al. (2023). Cell 186: 1493-1511e40.

Leveraging a large language model to predict protein phase transition:
a physical, multiscale and interpretable approach
M Frank et al. (2024). Proc Natl Acad Sci U S A 121: e2320510121.

Predicting Disease-Specific Histone Modifications and Functional
Effects of Non-coding Variants by Leveraging DNA Language Models
X Wang et al. (https://doi.org/10.1101/2025.06.15.659749)