Since we launched the Guild last Fall, we’ve taken on high impact projects across energy, healthcare, digital health, procurement optimization, and the nonprofit sector. It’s been an incredible experience, giving us a chance to help move the needle in a number of domains. It’s also underlined our need for more folks who share our interests and values.
That’s why we’re so pleased to announce two new additions to the Guild family, Ciro Cattuto and Sofus Macskássy.
Ciro Cattuto (@ciro) is the Research Director and the Data Science laboratory head of the ISI Foundation, a 30-year old research institution in Turin, Italy that tackles challenges in complex systems science, network science and data-intensive mathematical modeling. His passions for data analytics and sensor hardware came together when he co-founded the SocioPatterns international collaboration, which is aimed at developing social network analytics on top of wearable sensor data on human mobility and proximity. He is especially interested in the impact of data science on healthcare, epidemiology and public health, and he is a member of the WHO Collaborating Center on Complexity Science for Health Systems. Ciro holds a PhD in theoretical Physics from the University of Perugia, Italy and has carried out interdisciplinary research at the University of Michigan, Ann Arbor, at the Sapienza University of Rome, and at the Frontier Research System of the RIKEN Institute in Japan.
Ciro’s deep knowledge of temporal social graphs and applications in epidemiology inspired us to prototype a new data product in healthcare that we are starting to pilot in care settings. We’ll be talking more about this work soon.
I’ve known Sofus Macskássy since our days on the DARPA CALO project. Sofus manages part of Core Data Science at Facebook, where his team focuses specifically on the research and development of high-quality models of users and their online identity. He’s spent the last two decades straddling the fence between academia (most recently as a research professor at USC) and industry. His research is focused on practical applications for machine learning and centers primarily on ways in which we can better understand people and how they interact with the (digital) world. His work on data mining, machine learning and social network analysis has been applied to large social networks, text corpora, and other complex networks. He holds a Ph.D. in Computer Science from Rutgers University.
Welcome, guys. We’re so happy to have you on the team.