Isabel Mogollon Figueroa

Isabel Mogollon Figueroa is a Postdoctoral Researcher at the Finnish Institute of Molecular Medicine (FIMM), University of Helsinki, specializing in bioimage profiling. Her work integrates advanced imaging techniques with computational analysis to address questions in developmental biology, cancer research, and dermatology.

Her research spans Genetics, Developmental Biology, and Physiology, with a focus on cellular mechanisms in development and disease. Key areas include:

• Bioimage Analysis and High-content Screening
• Cancer Tumor Microenvironment Profiling
• Oral Ectodermal Development and Disease Modeling
• Application of Deep Learning in Microscopy

Her recent publications (2022-2025) demonstrate a strong trend in leveraging self-supervised learning and vision transformers for multiplexed microscopy images, particularly in cancer and developmental contexts. She contributes to pan-cancer studies and rare disease drug testing, highlighting interdisciplinary innovation at the intersection of molecular biology and artificial intelligence.

Dr. Mogollon Figueroa actively participates in multiple research projects funded by the Academy of Finland and Cancer Foundation. She is involved in projects such as "Uncovering patterns in cancer cells with visual representation learning" (2021-2026) and "Syöpäsäätiö 24-26/HORVATH PETER" (2024-2026), focusing on computational oncology and image-based drug discovery.

She collaborates within the Bioimage Profiling group at FIMM and is a member of the Euro Bioimaging ERIC board. Her work involves close collaboration with the iCAN community and participation in events like the Cytodata Hackathon, fostering interdisciplinary teamwork in bioimage informatics.