About me
I am a data scientist with experience in machine learning, signal processing, computer vision, mathematics and statistics. My previous experience spans IT and healthcare applications, as well as brief experiences in the automotive, education, and entertainment industries. I have strong analytical skills, boosted with my background in biological data analysis and IoT. With an interdisciplinary approach, I developed IT applications taking advantage of machine learning, mathematical models, programming, and design.
I enjoy facing challenges and uncertainties, and finding ways to work around them. I am always eager to keep learning and apply my knowledge to expand the market of impactful applications.
Experience
AI RESEARCH ENGINEER
Splink Inc. | February 2023 – Present
Designed pipelines and workflows with AI based algorithms for analyzing neuroimaging data (MRI, PET, …) for brain healthcare applications, while collaborating with cross-functional teams.
Skills: Statistics · Python (SciKit-Learn, Numpy, ScipPy, NiLearns, NiPype, NiBabel, AntsPy, Pandas, and PyTorch) · Computer vision · brain image formats (DICOM, NIfTI) · Docker · Google Cloud Platform (GCP).
DATA SCIENTIST – DOCTORAL RESEARCHER
Shibaura Institute of Technology | April 2020 – March 2023
As a member of the Laboratory for Bionic Communication Engineering, I conducted research analyzing novel EEG problems, publishing research papers in top-tier journals and conferences.
Skills: Time series forecasting · Python (NumPy, Pandas, Keras, Librosa, Scikit-learn, SciPy) · MatLab · Emotion recognition · Signal processing (EEG and music) · Statistics.
DATA SCIENTIST
MOLAB – UCLM | September 2019 – October 2019
2 months project contract. I developed mathematical models based on partial differential equations (PDEs) to simulate cell populations as part of a collaboration between MOLAB and CSIC (Spanish National Research Council) aiming to the estimation of the lifespan of neutrophils,
Skills: Bayesian analysis · R · OpenBugs · Mathematical models · MatLab
SOFTWARE DEVELOPER – ANALYST
Cojali S.L. | March 2018 – September 2018
As an analyst and developer in the Jaltest software, I wasresponsible for the development and communication of Off-Highway Volvo systems.
Skills: Deciphering communication protocols · C/C++ · SQL Server.
PART-TIME & OTHER EXPERIENCES
Global Learning Commons Staff | Shibaura Institute of Technology | April 2021 – February 2023
Delivery Service | Uber | December 2020 – September 2021
Discrete Control Teacher for intensive course of university subject | Aprobant Academy | February 2019 – March 2019
Languages
Native
Full Working Proficiency
Beginner
Education
PhD / BIONIC COMMUNICATION ENGINEERING
Shibaura Institute of Technology | April 2020 – March 2023
Supported by:
2021-2023: MEXT – Monbukagakusho Scholarship by the Government of Japan.
2020-2023: JSPS KAKENHI Grant Number JP 19K12222.
2020-2021: Shibaura Institute of Technology Scholarship for graduate students
MSc / APPLIED PHYSICS AND MATHEMATICS
University of Castilla – La Mancha | January 2019 – June 2020
Award #GeneraciónOn” Outstanding Student | Selected as 1 of the 20 most talented students of the university
Scholarship for organization of sport events.
Master Thesis: Mathematical Models for Estimation of Neutrophil Lifetimes in Different Organ Tissues (Thesis grade: 9.7/10 Honors).
BEng / INDUSTRIAL ELECTRONICS AND AUTOMATION ENG.
Erasmus+ Exchange | Vienna University of Technology, Austria | September 2017 – January 2018
Bachelor Thesis: “Early Warning Score (EWS) calculation for estimation of the health status of a subject during daily activities” (Thesis Grade: 9.4/10 Honors [Spain] | 1 – Excellent [Austria]).
University of Castilla – La Mancha, Spain | September 2013 – February 2018
Students main representative of the Industrial Engineering School | September 2016-June 2017
Internship Electromedicine and Maintenance | Hospital “Mancha Centro”, Spain | August 2016 – September 2016
Publications
2022
Ángel Muñoz González and Ryota Horie, “EEG Signal Power Prediction Using DEAP Dataset”, International Conference on Intelligent Informatics and BioMedical Sciences – ICIIBMS 2022 Nov, 2022.
A. Muñoz González and R. Horie, “A Multiplayer VR Live Concert With Information Exchange Through Feedback Modulated by EEG Signals”, IEEE Transactions on Human-Machine Systems, Jan 2022 (in press).
2021
Ángel Muñoz González and Ryota Horie, “Threshold Adjustment of Beta Alpha Ratio of EEG Signal for Generation of visual effects in a VR Live Concert”, IEEE GCCE 2021 (in press).
A. Muñoz González, S. Kobayashi, and R. Horie, “Implementation of aVirtual Reality Live Concert Experience Systems Attended by 10 People via Brainwaves”, Proceedings of the 2021 IEICE general conference,Mar 2021 (in press).
Courses
IEEE Brain Virtual Summer School (2020)
G.TecBCI & Neurotechnology Spring School (2020)
Mathematics against Cancer (2019)
Mobile robotics with Arduino, Android and 3D Printing (2016)
Android for Engineers (2015)
Object Oriented Programming using C++ (2015)
MatLab for Engineers (2015)
Advanced learning in the search and use of information (2014)
Volunteering
LANGUAGES SERVICE TRANSLATOR
Tokyo 2020 Olympic Games (Japan) | July 2021 – August 2021
Spanish/English press and OBS translations during the Olympic Games at Oi Hockey Stadium
CHESS MONITOR
CEIP Manuel Clemente (Spain) | September 2010 – June 2013
Mentoring primary school students in chess