I am Juana Valeria Hurtado, an applied research scientist in machine learning for perception, with a PhD in Robotics from the University of Freiburg. Over six years of R&D, I deliver end-to-end model development, from problem formulation and data strategy to training, benchmarking, and iteration under noisy signals and limited labels. I lead research efforts, supervise MSc theses, coordinate across labs, and communicate across disciplines. My work sits at the intersection of deep learning foundations and engineering constraints, with a track record of publications (e.g., CVPR, ICRA, IEEE RA-L) and a strong commitment to ethically robust AI, spanning autonomous robots, multimodal perception, and medical ML with EEG.

Juana Valeria Hurtado

I am Juana Valeria Hurtado, an applied research scientist in machine learning for perception, with a PhD in Robotics from the University of Freiburg. Over six years of R&D, I deliver end-to-end model development, from problem formulation and data strategy to training, benchmarking, and iteration under noisy signals and limited labels. I lead research efforts, supervise MSc theses, coordinate across labs, and communicate across disciplines. My work sits at the intersection of deep learning foundations and engineering constraints, with a track record of publications (e.g., CVPR, ICRA, IEEE RA-L) and a strong commitment to ethically robust AI, spanning autonomous robots, multimodal perception, and medical ML with EEG.

Available to hire

I am Juana Valeria Hurtado, an applied research scientist in machine learning for perception, with a PhD in Robotics from the University of Freiburg. Over six years of R&D, I deliver end-to-end model development, from problem formulation and data strategy to training, benchmarking, and iteration under noisy signals and limited labels.

I lead research efforts, supervise MSc theses, coordinate across labs, and communicate across disciplines. My work sits at the intersection of deep learning foundations and engineering constraints, with a track record of publications (e.g., CVPR, ICRA, IEEE RA-L) and a strong commitment to ethically robust AI, spanning autonomous robots, multimodal perception, and medical ML with EEG.

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Experience Level

Expert
Expert
Expert
Expert

Language

Spanish; Castilian
Fluent
English
Fluent
German
Intermediate

Work Experience

AI/ML and Robotics Applied Scientist at Robot Learning Lab, University of Freiburg
January 1, 2019 - December 31, 2025
Designed, developed, and benchmarked transformer-based segmentation models with data pipelines and evaluation protocols; coordinated multi-lab collaborations; tracked experiments with Weights & Biases; handled large datasets with HDF5.
Visiting Researcher (Medical ML EEG) at Brain State Decoding Lab, University of Freiburg
January 1, 2017 - January 1, 2018
EEG functional connectivity analysis to study therapy-induced improvements; worked with noisy clinical signals; focused on confidence and reproducible evaluation of connectivity patterns.
Research Projects at DSPC Group, National University of Colombia
January 1, 2016 - December 31, 2018
Diagnostic support for early Alzheimer's detection: designed EEG functional connectivity features to identify biomarkers; EEG-based brain activity monitoring under general anesthesia.

Education

Dr. rer. nat. at Albert-Ludwigs-Universität Freiburg (University of Freiburg)
January 11, 2030 - February 5, 2026
Master of Engineering at National University of Colombia
January 1, 2016 - January 1, 2018
Electronics Engineering (Cum Laude) at National University of Colombia
January 1, 2010 - January 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Life Sciences, Education, Professional Services