Carla Abaigar
Postdoctoral Researcher at Indiana University School of Medicine
Indianapolis, Indiana, United States
Summary
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Top SchoolCarla Abaigar is a postdoctoral researcher and data scientist with 8+ years of experience at the nexus of medical imaging, statistics, and artificial intelligence, currently developing multimodal machine learning models for brain cancer diagnosis and prognosis at Indiana University School of Medicine. She holds a PhD in Artificial Intelligence and MSc/BSc degrees in Statistics from UPC, and her doctoral work produced a non-invasive AI glioma grading system using MRI. Her background spans academia and industry, where she led AI deployments with hospitals, built privacy-compliant synthetic healthcare datasets for Horizon Europe, and implemented large-scale data pipelines on Hadoop and Spark. Carla combines rigorous biostatistical training with practical engineering—having managed genotype-based predictive modeling and enterprise data platforms—enabling her to translate complex clinical questions into deployable AI solutions. Colleagues describe her as an interdisciplinary collaborator who bridges radiology, histopathology, and clinical data streams to produce clinically actionable models.
7 years of coding experience
8 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
English, Spanish, Catalan, GermanGithub contributions (2)
carlapitarch/TFG
Jun 2018 - Apr 2019
Contributions:8 commits, 7 pushes, 1 branch in 9 months
carlapitarch/StatsSequences
Nov 2018 - Nov 2018
Contributions:18 pushes, 1 branch in 2 days
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