Photo: Marily Martínez

Photo: Marily Martínez

Milton earned a BS in Biomedical Engineering from Tecnológico de Monterrey, graduating with the highest honors and the highest award for co-curricular excellence. At his university's BRAIN Center, he created Machine Learning models using biometrics (EEG, PPG/EDA, CV) to predict cognitive states as mental fatigue, engineering interest, and emotion. At the FNNDSC at Harvard Medical School, he developed Deep Learning models using fetal MRI data for cortical and subcortical structure segmentation.

Outside of research, he likes reading, playing chess, and rock climbing.

Resume/CV

News

03/2025 A journal paper was selected by the Chief Editors of Frontiers in Human Neuroscience for the 2024 Research Highlights eBook. Placed in the top 3% out of 510 articles and ranked top 2 in BCI
03/2025 3rd first-author journal paper, Neural Signatures of STEM Learning and Interest in Youth, published in Acta Psychologica
12/2024 BS in Biomedical Engineering: Summa Cum Laude (highest academic distinction), Excellence Diploma (highest co-curricular distinction), Borrego de Oro (#1 in professional development), International Diploma (leadership & multilingual proficiency)
09/2024 Outstanding Student Award (1% best engineering trajectories)
08/2024 Student Speaker Award by U21 Health Science Group, presenting Digital Twins in Education at Amsterdam UMC, the Netherlands
03/2024 2nd first-author journal paper, Real-time EEG-based Emotion Recognition for Neurohumanities: Perspectives from Principal Component Analysis and Tree-based Algorithms, published in Frontiers in Human Neuroscience
04/2023 Outstanding Student Award (1% best engineering trajectories)
05/2022 1st first-author journal paper, Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers, published in Applied Sciences
11/2021 Real-time Biofeedback System for Interactive Learning using Wearables and IoT won best undergraduate paper award at 6th North American IEOM

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