Andrea D'Angelo

I presented our work titled "A Novel Relevance Score for Unsupervised Retrieval with Large Language Models" at KDD24's PhD Consortium.

I talked about Machine Unlearning in a seminar as an Invited Speaker at the Technical University of Munich (TUM).

I presented the paper "Echocardiographic Epicardial Adipose Tissue Quantification: Challenges and Insights" at Perfail 2024 on behalf of the authors. The paper also won the Best Paper award for the workshop.

I talked about Privacy implication of training and use of Large Language Models during the final event of Territori Aperti.

At AIGAP '23 I presented our work titled Uncovering Gender Bias in Academia.

At ECSA '23 I presented our work titled "Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape".