Summary
Pablo Messina is a PhD researcher in AI-focused medical imaging at Instituto Milenio iHealth and a member of Chile’s CENIA, specializing in automatic radiology report generation from chest X-rays using deep learning and a VQA approach. With 11 years of experience bridging research and teaching, he has contributed to practical systems from interactive 3D visualization components to backend integrations and CAD tooling during internships and academic projects. He was a visiting researcher at Johns Hopkins Vision Lab, collaborating on chest X‑ray report generation under René Vidal, and has taught competitive programming at Pontificia Universidad Católica de Chile, coaching students for ICPC-level problem solving. His background combines strong engineering foundations (software engineering degree, master’s in recommender systems) with applied research skills, making him adept at turning complex medical-AI ideas into reproducible models and tools.
11 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Pontificia Universidad Católica de Chile
Instituto Nacional General José Miguel Carrera
Computer Science, Computer Science at University of California, Irvine
English, Spanish