Cosme is a Nature-published particle physicist by training and earned his Ph.D. working at CERN. His specialty is isolating meaningful signals from noisy data.
While at CERN, he gained expertise in extracting insights from billions of noisy data records using machine learning and statistical algorithms. During his doctoral research, he made major contributions to the LHCb collaboration, which recently materialized in a Nature publication. Following his Ph.D., Cosme continued in academia as a post-doctoral researcher at Penn State University where he transitioned to the role of Data Scientist within the Center of Infectious Disease Dynamics. There he conducted an analysis of 40 million Twitter entries containing keywords related to HIV; through his research, Cosme was able to identify Twitter users posting about the side effects caused by HIV medication. This work earned him a first place poster prize at the Informs Big Data Conference in 2014 and resulted in a peer-reviewed publication in JMIR. Cosme joined the Protenus team to apply his training to tackle the important challenge of protecting privacy in healthcare.
Cosme was a Post-Doctoral Fellow in Data Science at Penn State University. He holds a Ph.D. in Particle Physics from Aix-Marseille Université, France and a Master’s Degree in Physics from Universitat Autonoma de Barcelona, Spain. Cosme also has a Bachelor’s Degree in Physics from Universitat de les Illes Balears, Spain.
Fun fact: Cosme's obsessions include siestas, jogging, and constantly checking the weather during storms.