I am a doctoral researcher at the Chair of Digital Health with a Focus on Data Science from the University of Bayreuth (Germany) and the Brain and Behaviour Laboratory at Imperial College London (UK).
My research focuses on non-invasive neural interfaces for human augmentation, combining machine learning and signal processing techniques to analyse electromyography (EMG) recordings. By decoding muscle-related signals even at the individual neuron level, my goal is to expand the human output bandwith and improve control over EMG-based human-machine interfaces.
My past projects have explored various aspects of human augmentation and rehabilitation technology, including:
- Studying how people learn to control an additional robotic finger while playing the piano (paper).
- Developing both myoelectric and body-powered hand prostheses to improve accessibility in prosthetic solutions (paper 1, paper 2, paper 3, paper 4).
- Designing supernumerary robotic fingers to enhance grasping capabilities (bpSRF, paper 1, paper 2).
Beyond academia, I am passionate about fostering collaboration and knowledge exchange. I co-founded and am currently a leader of the Bayreuth AI Association, a space for the open exchange of ideas and experiences in the hands-on use of Artificial Intelligence and Machine Learning with a focus on the practical implementation of algorithms through group projects.
I am also a co-founder of LAT Bionics, a company based in Peru committed to designing and fitting low-cost, customised hand prostheses for individuals with limb differences. You can learn more about our mission watching our TED talk.
Feel free to explore my Publications and Projects or contact me for collaborations or inquiries about my work.
Latest News
- 08/2025 Two papers accepted to IEEE NER 2025 and an oral presentation (Nanosymposium) at Neuroscience 2025! I will present our work in motor unit spike trains-to-force ML pipeline and our work in motor unit tracking in constrained and unconstrained finger force tasks.
- 07/2025 Our ICORR paper on the first-ever body-powered extra robotic finger is live! Check it out here.
- 07/2025 Delighted to attend and present a poster at the Summer School on Human Interfacing and augmentation! This was a great opportunity to discuss the feasability of motoneuron-level control interfaces.
- 05/2025 I participated in the BR41N.IO Hackathon! My teammates and I analysed EEG from stroke patients during hand motor imagery tasks using Riemannian manifolds, neural networks, and feature importance analyses. Check out our open repository.
- 02/2025: Our paper on the body-powered supernumerary robotic finger was accepted at ICORR 2025, part of the RehabWeek to be taking place this May in Chicago.
- 11/2024: Two papers published on the experimental characterisation of a soft robotic device for mechanotherapy and the computational analysis of its interaction with skin-muscle tissue.
- 09/2024: Presented my paper on a low-cost upper-limb prosthetic tool for handlebar-driven vehicles at BioRob 2024 in Heidelberg (Germany).
- 07/2024: Completed the certification for the NeuroAI course by the Neuromatch Academy. Excited to apply neuro-inspired AI and ML concepts!
- 04/2024: Presented a poster at the Neural Control of Movement (NCM) meeting in Dubrovnik, Croatia.
- 12/2023: Featured by Zeit, SAT1, and Süddeutsche Zeitung for our “live-in-lab,” an apartment equipped with sensors for real-world human behaviour studies.
- 09/2023: Featured by Andina News and El Peruano for our patent on finger covers for hand prostheses, awarded at KIWIE 2023 (Korea).
- 07/2023: Our paper on human augmentation was featured as Editor’s Choice: interfacing humans with machines in Nature Scientific Reports.
- Presented my paper on supernumerary robotic fingers for assistance at the IEEE BioSmart ‘23.
- Gave an oral presentation at the 2023 Summer School on Neurorehabilitation on motor unit decomposition for individual finger movements (link to slides, short paper coming in Springer).
More updates are available on my News page.