Summary
Irene Tallini is a postdoctoral researcher focused on mechanistic interpretability and deep learning for music, with eight years of research experience spanning optimal transport, vector quantile regression, and geometry processing. She completed a PhD in Computer Science at Sapienza University, spent a visiting stint at Technion, and has contributed to high-profile venues including ICLR, AISTATS, 3DV and WCNEE, earning multiple best paper recognitions and an ICLR 2024 oral. Her background blends theoretical strengths from a mathematics BS and geometry-processing MS with applied work on underwater IoT protocols and music generation models. Practical and curious, she bridges algorithmic rigor and real-world systems—evident in projects ranging from underwater drone networks to generative music research. Based in Rome, she now pursues mechanistic interpretability at Area Science Park, bringing interdisciplinary insight and a track record of impactful, diverse publications.
8 years of coding experience
1 year of employment as a software developer
Visiting PhD Student, Visiting PhD Student at Technion - Israel Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Sapienza Università di Roma