Irina Espejo joined the collaboration as a Postdoctoral Researcher at NYU CDS in May 2025. Her research interests are multimodal foundational models for science and their transferability to low-data regime. She received a PhD from NYU Center for Data Science in 2023, supervised by Kyle Cranmer. She was a Fulbright Scholar from 2018-2020. Irina previously worked at IBM Research in Zurich as a Postdoc from 2023 to 2025 and as an intern in BigHat Biosciences. Before that she obtained degrees in Physics and Mathematics from University of Oxford and Universitat Automona de Barcelona.