Bio

I am a Principal Inventive Scientist at AT&T Chief Data Office within the Data Science and AI Research organization. My research is centered on understanding and modeling customer behavior and experience through large-scale consumer and network data, using machine learning, network analysis/modeling, spatio-temporal mining, text mining and natural language processing techniques. Prior to joining AT&T, I was a Data Science Fellow at Insight Data Science NYC and a postdoctoral research associate at Social Cognitive Networks Academic Research Center at Rensselaer Polytechnic Institute. I hold a PhD in Physics, MS in Computational Physics, and have a research background in Network Science and Computer Science.