Hey, I’m Carlos! 👋
I spend my time bridging Machine learning and Neuroscience, currently developing novel approaches in Brain-Computer Interfacing. My vision is to have computing systems augmenting our cognitive abilities and supporting our well-being, naturally integrating with our cognition. I found home at the Cognitive Computing group led by Academy Research Fellow Tuukka Ruotsalo at the University of Helsinki.
I do some Cognitive modeling and used to spend my days slicing brains and herding cells as I started my research in Neurobiology and Neuropharmacology.
PhD Computer Science, 2021-
University of Helsinki
BSc Biotechnology, 2019
Universidad CEU San Pablo
BSc (MSc) Pharmacy, 2018
Universidad CEU San Pablo
PCert Clinical Trials, 2017
University of Chicago
Current image semantic editing approaches rely on manual annotations or use unsupervised techniques that require a human to assess semantic relevance. We propose a novel paradigm in which we measure implicit responses direcly from the brain (EEG) to detect feature saliency and use them for image editing.
I use electroencephalography (EEG) recordings to implicitly control generative models’ (generative adversarial neural networks or GANs) output visual features as a model task.
I investigated the similarity between images measured as GAN-learned distances and compared them to human perceptual distances (Psychophysiology, submitted).
I use EEG as feedback to steer the GAN and match the user’s intentions (e.g., I think of a blond and smiling person, the GAN generates a blond and smiling person UIST'20). I extend the applications to brain-based semantic image editing (CVPR'22) and implicit multi-user image generation (in progress).
I have combined a cognitive model of memory (infer how the user learns and forgets) and model-based planning (when to review or show a new item) for intelligent tutoring systems IUI'21. I have also contributed to open science by replicating a connectionist memory model, leading to correcting the original manuscript (ReScience C).
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pandas, numpy, seaborn, matplotlib
See all technical and leadership skills, including courses.
Projects are temporary endeavors to create unique outcomes; they have a scope, a schedule, a budget, a certain level of quality, and other essential parts. To animate them, somebody needs to manage and lead the team. On completion of the course, the participants will:
I revised concepts about outlining ML solutions:
The online training for selected PhD students consisted of 3 full days of online sessions with the following learning objectives:
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Email: ctorre @ at @ mailbox @ dot @ org