Drawing on extensive experience in university teaching, academic coordination, and curriculum development in Chile, I approach mentorship as both scientific training and professional development.
My teaching background spans university instruction, academic coordination, and curriculum development in Chile across psychology and related disciplines. That experience continues to shape how I structure research training, translating scientific concepts into clear, hands-on learning for students at different stages.
I mentor students from psychology, neuroscience, data science, and related fields, including undergraduate and research trainees at Columbia University and Barnard College. I aim to support both rigorous scientific development and broader professional growth, helping trainees connect theory, methods, and clinical relevance in their work.
Foundations in developmental and clinical neuroscience, the study of mental health disorders such as anxiety and depression, and quantitative approaches to measuring behavioral and therapeutic processes.
Curating multimodal datasets — EEG, behavioral, speech, and clinical — extracting and validating features, and building models with reproducible workflows.
Across projects, I emphasize informed consent, de-identification, data privacy, reproducibility, and the responsible use of computational methods in clinical research.