💻 Work Experience
Researcher - Doctoral Researcher
(June 2019 - Present) | Stockholm University
Research area in the intersection of machine learning and immersive technologies. The aim of the project is to gain understanding on how behavioral data (physiology, motion, interactions) from users can be analyzed with machine learning methods to infer subjective characteristics form from users (skill level, emotional states) and inform the design of better adaptive virtual reality applications.
Consultant on Virtual Reality Applications + Unity Developer
(September 2017 - Present) | Multiple Projects
Design and development of VR-based solutions. Including firearms training simulator (USA), architecture visualization (Colombia), and healthcare (Sweden). Check the section Projects for more details.
(February 2017 - August 2017) | Madeira Interactive Technologies Institute, Portugal
Design, and development of a multimodal systems for mental health interventions. Using devices like HTC-Vive, KinectV2, and wearable sensor Zephyr. Programming Windows apps using C#, and Unity. Side projects: 3D-calibration tool for low-cost CAVE systems and visual scripting toolbox for physiologically adaptive systems.
(April 2015 - January 2017) | Center for Bioinformatics and Computational Biology (BIOS), Colombia
Support in the formulation, planning and development of applied-research projects for industry, applying computer vision and signal processing algorithms. Using several human-interface devices and libraries such as VRPN, OpenCV and Qt.
PhD in Computer and Systems Sciences
(September 2019 - Currently) | Stockholm University, Sweden
Research area is the intersection between machine learning and immersive technologies.
MSc. Health Informatics
(September 2017 - May 2019) | Karolinska Institutet, Sweden
Design, implementation and management of projects related to digital health technologies and health information systems.
BSc. Electronics Engineering
(February 2010 - August 2015) | National University, Colombia
Courses on signal processing, computer vision, control theory, telecommunication systems.
GPA: 4.4/5.0 - Best 10% among graduated students.
🏆 Awards & Highlights
- Awarded Grants for studies:
- Master’s Degree (2017), awarded by Swedish Institute
- Bachelor’s Degree (2013), awarded by Colombian private institution.
- Technical Degree in Computer Systems (2009), awarded by Colombian private company.
- 10+ Certifications in MOOCs
- Best 10% GPA among graduated students - National University 2015
- Best design and programming of robot - VEX Robotics Competition 2012
- Best academic performance among graduated students - High School 2009