CV

Are you building a team to unravel the misteries of the mind? I have a strong technical and theorical background to offer, as well as more than 15 years of experience working in interdisciplinary teams. I can help you design cognitive science experiments with high precision and technical reliability without paying for any licenses. Openness and reproducibility are my focus. I’m currently looking for a team to work with. If you think I could be a good fit for yours, please contact me. Find my CV here

Education

Ph.D in Brain-Computer Interfaces/Informatics, Graz University of Technology, 2025 (expected) Thesis: Cognitive Modeling for Affective Computing
M.Sc. in Data Analytics, Hildesheim University, 2020 Thesis: Emotion Representation in Large Language Model Embeddings
B.Sc. in Computer Science, Guanajuato University, 2016 Thesis: Emotion Sonification in Social Networks

Experience

2020 - 2022: Assistant Researcher
- Graz University of Technology: Institute of Neural Engineering
- Duties includes: Experimental Design, Data Analysis, and Teaching
2018 - 2019: Behavioral Data Analyst
- Hildesheim University: Institute of General Psychology
- Duties included: Experimental Design Implementation, Technological development, and Data Analysis
2016 - 2017: Intern Data Analyst
- LaSalle Bajío University: Center for Neuroscience
- Duties included: Data Analysis for EEG, ECG, and questionnaires
2015 - 2016: Technology Consultant
- Tecnológico de Monterrey: School of Government and Public Transformation
- Duties included: Technological development and consulting

Languages

Spanish: Native
English: Native
German: C1

Skills

Scientific Programming and Data Analysis	Experimental Design and Neuroengineering	Scientific Computing
Python Numeric Computing: Numpy, Scipy Vizualization: Matplotlib, Seaborn Data Analysis: Pandas, Polars MNE-Python MNE-BIDS MNE-Features PyTorch: CNNs, GANs, VAEs Julia Turing Flux Makie	gTec: EEG Brain Products: EEG, ECG, EDA BioSemi: EEG BioGraph Infiniti: Bio- and Neurofeedback Bitbrain: EEG, ECG, EDA Tobii Pro: Eye Tracking Polar: H10, Verity Sense BrainVision Analyzer Experiment Design Software: Psychopy OpenVIBE NBS Presentation E-Prime Lab Streaming Layer Brain Imaging Data Structure (BIDS) Biosignals Data Formats (XDF, EDF, BDF)	Advanced git and github Linux: Ubuntu, Arch, NixOS Docker: Docker-Swarm, Portainer Distributed Computing: Dask, MPI, Distributed Julia Scientific writing: Jupyter, Latex, Pandoc, Quarto

Publications

Stylized faces enhance ERP features used for the detection of emotional responses

Barradas-Chacón, L. A., Brunner, C., & Wriessnegger, S. C. (2023). Stylized faces enhance ERP features used for the detection of emotional responses. Frontiers in Human Neuroscience, 17, 1160800.

The influence of visual representation factors on bio signals and its relation to Presence in Virtual Reality Environments

Wriessnegger, S. C., Autengruber, L. M., Chacón, L. A. B., Pirker, J., & Safikhani, S. (2022, October). The influence of visual representation factors on bio signals and its relation to Presence in Virtual Reality Environments. In 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 199-204). IEEE.

Emotion analysis using heart rate data

Barradas Chacon, L. A., Fedoskin, A., Shcheglakova, E., Neamsup, S., & Rashed, A. (2019). Emotion analysis using heart rate data. In Database and Expert Systems Applications: DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings 30 (pp. 147-154). Springer International Publishing.

Service and leadership

Urban Gardner at the Graz University of Technology.
Co-organizer of the FreiRaumFest Graz.
Over 4 years of volunteering at Techo México.
2 years Science communicator around Guanajuato, México.
Member at the local Hackerspace.

Luis Alberto Barradas Chacón

CV