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Education & Qualifications

Education



Master’s in Media, Arts, and Sciences @ MIT Media Lab – Affective Computing Research Group | Class of 2025

  • GPA: 5.0/5.0
  • Relevant Coursework: Affective Computing and Ethics; AI, Decision Making, and Society

Bachelor’s in Computer Science and Neuroscience @ Massachusetts Institute of Technology (MIT) | Class of 2023

  • GPA: 5.0/5.0
  • Relevant Coursework: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning; Projects in the Science of Intelligence; Intro to Machine Learning; Statistics for Brain and Cognitive Science; Machine-Motivated Human Vision

Associate of Arts in Biomedical Engineering @ The Honors College at Miami Dade College (MDC) | Class of 2020

  • GPA: 4.0/4.0
  • Relevant Coursework: Biological Methods and Applications; Biomedical Ethics; HHMI Introductory Chemistry/Biology Laboratory; Human Anatomy and Physiology

Experiences Overview



Awards



  • Jack Kent Cooke Transfer Scholar, awarded to nation’s top transfer students
  • Barry Goldwater Scholar, regarded as most prestigious undergraduate scholarship in STEM
  • Annual Biomedical Research Conference, ABRCMS, 2019 and 2020 Presenters Award
  • President’s Volunteer Service Award (Gold)
  • Academic Excellence Award (2022), MIT Department of Brain and Cognitive Sciences

Publications and Presentations



  • G. Bernal, N. Hidalgo, C. Russomanno and P. Maes, “Galea: A physiological sensing system for behavioral research in Virtual Environments,” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022, pp. 66-76, doi: 10.1109/VR51125.2022.00024. [Research Publication]
  • Hidalgo N (Presenter), Mylavarapu R, Shoup A, Prins N, and Prasad A. Webcam Kinematics Recording System for Brain Machine Interface Studies. Poster session presented at: Annual Biomedical Research Conference for Minority Students (ABRCMS); 2019 November 13-16; Anaheim, CA. [Poster]
  • Hidalgo N, Faria M (Presenter), and Belokon E. Assessing open-source EEG Data for Motor Imagery Processing Accuracy using LDA and QDA at: Annual Biomedical Research Conference for Minority Students (ABRCMS); 2020 November 9-13; Remote. [Poster]
  • Mbonda H (presenter), Hidalgo N, Shoup A, Mylavarapu R, and Prasad A. Automating a Behavioral Reaching Task to Reduce Variability in Neural Recordings. Poster session presented at: Summer Poster Session at Virginia Tech; 2019 July 29; Blacksburg, VA. [Poster]