Marina Alberti

Marina Alberti has diverse work experience in the field of software development, algorithm design, and implementation.

Their most recent position was as a Machine Learning Software Developer at CAMELOT biomedical systems S.r.l. starting in 2018. Prior to this, they worked at Tobii AB as an Algorithm Developer from June 2015 to April 2018, where they focused on eye tracking and camera calibration algorithms, code optimization, and Machine Learning-based rough gaze tracking.

Before that, Marina worked at OptoNova AB as a Software Developer from August 2014 to May 2015, specializing in designing and implementing algorithms for industrial machine vision applications.

From June 2013 to August 2014, they worked at The Royal Institute of Technology (KTH) as a Postdoctoral Researcher, primarily focusing on Artificial Intelligence, Computer Vision, and robotics integration.

Marina's prior experience includes working as a Researcher at the University of Barcelona and Computer Vision Center from March 2010 to February 2013, where they were involved in Pattern Recognition, Computer Vision, and Machine Learning algorithm design for medical applications.

Marina also had an internship at the Laboratory For Signal Processing, University of Iceland in August-September 2009, where they developed an algorithm for detecting changes in retinal fundus images.

Marina Alberti has a strong educational background in the fields of Medical Imaging and Biomedical Engineering. Marina earned a Doctor of Philosophy (Ph.D.) degree in Medical Imaging from the Universitat de Barcelona from 2010 to 2013. Prior to that, they obtained a Master's degree in Biomedical Engineering from the Università degli Studi di Genova between 2007 and 2009. Additionally, Marina completed a Master ISICT (Excellence Training Program) at the Institute of Advanced Studies in Information and Communication Technologies from 2004 to 2009. Marina also holds a Bachelor's degree in Biomedical Engineering from the Università degli Studi di Genova, which they received from 2004 to 2007.

In addition to their formal education, Marina also holds several certifications in the field of machine learning. Marina completed courses such as "Neural Networks and Deep Learning," "Machine Learning: Regression," and "Machine Learning Foundations: A Case Study Approach" through the online platform Coursera, earning certifications in May 2018, July 2016, and May 2016 respectively.