Directory

SAMAN SAKKAL, Eduardo José

Department of Basic Areas

SAMAN SAKKAL, Eduardo José

CV

Teacher profile

Basic Areas, DEPARTMENT OF BASIC SCIENCIES. Universitat Internacional de Catalunya

Education

Graduated in Bioengineering, Universitat Internacional de Catalunya (UIC)
MSc. in Neuroengineering and Rehabilitation | Universitat Politècnica de Catalunya (UPC)

Professional experience

Neural Engineer: Electrophysiology with Dr. Prof. Xavier Navarro Barcelona, Spain
Universitat Autònoma de Barcelona - Institute of Neuroscience September 2023 – Present
• Neurophysiological studies and analysis of bioelectrical signals obtained from peripheral nerves with implanted microelectrodes in rats.
• Improvement of muscle recruitment and selectivity stimulation excitation thresholds through intraneural electrodes.
• Design and methodology of electrode implants in the nervous system.
Data Scientist Barcelona, Spain. ZeClinics - ZeCardio Therapeutics September 2022 - Present
• Conducting data mining and processing of zebraQish phenotypic data to identify therapeutic targets forcardiac and neurological pathologies.
• Applying core technical stills to design and program computational tools and build setups to investigate behavioral paradigms in animal models.
• Experience with modelling and simulation on CPU and GPU architectures.
• Neuroengineering Research Intern with Dr. Prof. Ruben Portugues Munich, Germany
Technical University of Munich (TUM) - Institute of Neuroscience February 2022 - May 2022
• Developed proQiciency in microscopy, optics, and imaging techniques.
• Applied core technical skills to design and program computational tools.
• Investigated behavioral paradigms in animal models, utilizing motion estimation and behavioral data analysis.
• Applied statistical inference and machine learning techniques to visualize and analyze behavioral data.
Neuroscience Research Assistant with Dr. Prof. Neus Ramos Barcelona, Spain. Bellvitge Biomedical Research Institute - IDIBELL-Brainvitge February 2021 - August 2021
• Interpretation of EEG data with computational neuroscience toolboxes.
• Processed EEG data by characterizing Event-Related-Potentials and signal components using Independent Component Analysis (ICA) for the neuroscience of language learning.