Dr. Foschini is a co-founder and Head of Data Science at Evidation Health. In the past, he worked on aggregation of news articles at Ask.com, on community detection in social networks at Google and on low-latency web caching at the CERN. He assists with many aspects of the Network Science IGERT at UCSB, including mentoring trainees and assisting with seminar and class development.
The following comes from Dr. Foschini's website: "My research focuses on designing efficient algorithms for finding approximate solutions to problems for which computing an exact solution would require an impractical amount of resources.
"Simply put, a recurrent pattern you'd find in my research papers is 'This theorem proves that this problem can't be solved exactly on large inputs within a reasonable amount of time or memory, but if you're willing to settle for a slightly suboptimal solution, here's an algorithm that can compute that efficiently.'"