Diego Silvera

About Me

I hold a Master’s degree in Electrical Engineering specialized in signal processing and machine learning, with experience in video, image, and audio processing projects. I have worked for almost four years as an assistant researcher at the Electrical Engineering Institute of Universidad de la República (UdelaR), Uruguay. My main interests lie in the application of machine learning and signal processing techniques to biomedical problems. I earned my Bachelor’s and Master’s degrees in Electrical Engineering from Universidad de la República (UdelaR). My Master’s research, supervised by Federico Lecumberry (UdelaR) and Alberto Bartesaghi (Duke University), focused on deep learning methods applied to cryo-electron microscopy (cryo-EM) images. As part of this work, I completed a two-month research internship at Duke University. Since January 2022, I have been an Assistant Professor at Universidad de la República, where I am a member of the Audio Processing Group and IMAGINA, an interdisciplinary group dedicated to the acquisition, processing, and analysis of various types of biological images. My research interests include signal and image processing, computer vision, machine learning, deep learning, generative modeling, medical imaging, and cryo-electron microscopy. I am driven by the goal of contributing to advances in disease diagnosis, treatment, and drug development, as well as in technologies that enhance the quality of life. I am committed to applying my training and technical expertise to tackle complex challenges in healthcare through innovative, impactful solutions.

Education

Past Employer