**I am looking for highly motivated graduate students to work on research in data science, edge/fog computing, social networks, and their intersection. Please email me with a copy of your CV if you are interested. I apologize in advance that I cannot respond to every email that I receive.**

I am an Assistant Professor of Electrical and Computer Engineering at Purdue University. Previously, I was the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering at Princeton University, where I received my PhD in 2016.

My research is at the intersection of data science and networking. I analyze fine-granular behavioral data generated as users interact with devices and applications to build optimization models of social, economic, and communication networks, and deploy these models in systems delivered to end users. My algorithms pertaining to Social Learning Networks (SLN) - types of networks formed around the process of knowledge transfer - won the 2016 Bede Liu Best Dissertation Award in Electrical Engineering, and drive production systems at Zoomi Inc providing personalized learning, content analytics, and employee performance optimization to several Fortune 500 companies.

More generally, I am interested in solving problems for Fog Networking, the Internet of Things (IoT), and online (human) learning through the development of novel methodologies in data science, convex and non-convex optimization, machine learning, and signal processing.

I am also active in teaching. In addition to lecturing, I co-authored the book The Power of Networks: Six Principles That Connect Our Lives and teach three Massive Open Online Courses (MOOCs) on networking. Together, these MOOCs have reached over 400,000 students around the world since 2012.