Guilherme Imai Aldeia
Interpretable AI for brain-disorder diagnosis
Postdoctoral Fellow
Boston Children's Hospital, Harvard Medical School
Your week at a glance
- Small group — you facilitate Group 3 · Cygnus on Day 1 (Problem framing).
- Job talk — Day 6 (Sat, Jun 27), 1:40 PM · Room A · Alder 107.
- Poster — Day 7 (Sun, Jun 28) · Session B (10:30–11:30 AM).
Guilherme earned his PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks. He also holds B.S. degrees in Computer Science and Neuroscience, both from the Federal University of ABC in Brazil. He is currently a postdoctoral researcher at CavaLab, where he joined in February 2026. His current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. He also works on machine learning models using fMRI data and applications of neural networks to temporal data. His research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Awards & honors
Recognition
- 1st Place, Undergraduate Final Project, Brazilian Symposium on Information Systems (CTCCSI) (2020)