Biomedical Engineer and PhD in machine learning for neuroimaging, Eneko Uruñuela, brings a wealth of expertise and experience to the field. With a Master's degree in Bioinformatics and Data Analysis from the University of Navarra, Eneko's passion lies in data analysis and bioinformatics, particularly in the realm of neuroimaging.

During his Master's thesis, Eneko delved into the intricate world of deconvolution of fMRI signals at the BCBL. His research focused on developing algorithms to blindly estimate neuronal-related activity from functional MRI data, aiming to tackle cases where access to the timings of the neuronal events is limited, such as in resting state and clinical scenarios. Furthermore, Eneko contributed to the open-source development of signal denoising software for fMRI written in Python.

Prior to his Master's, Eneko honed his skills at Neuroelectrics S.L., where he worked on projects involving brain stimulation signals. One of his notable achievements was creating an automatic firmware testing system for up to 64-channel devices. This system generated and processed brain stimulation signals, such as transcranial alternating current stimulation (tACS), transcranial direct current stimulation (tDCS), and transcranial random noise stimulation (tRNS). Another project he was involved in at Neuroelectrics focused on developing an algorithm to analyze, process, filter, and monitor EEG data from neonates. The aim was to detect seizures, assess prognosis, and aid diagnosis.

Eneko's academic and practical background has equipped him with a strong skill set in Python, Matlab, R language, signal processing, data analysis, inverse problems, and image processing. He also has experience with C++. Eneko's dedication to his field is evident through his involvement as a researcher and PhD student at the Basque Center on Cognition, Brain and Language. Additionally, he has contributed his expertise as a teaching assistant at the Neuromatch Academy.

With his diverse background and deep knowledge of biomedical engineering, machine learning, and neuroimaging, Eneko Uruñuela is an asset to any project or organization focused on advancing the frontiers of brain research and data analysis. His passion for developing cutting-edge algorithms and software, along with his commitment to open-source contributions, make him a valuable member of the scientific community.