Professional Journey
Trained as a Computational Social Scientist, I hold a Ph.D. in Management Information Systems from the University of Illinois. Using computational modeling, network analysis, econometrics, and machine learning, I analyze large volumes of data to explore how AI and related technologies can complement human capabilities, drive innovation and entrepreneurship, and shape the future of work. I have extensive experience teaching technical classes at both undergraduate and graduate levels.

I was trained as an Industrial and Systems Engineer (bachelor’s and master’s) and worked as a Systems and Process Engineer at several startups before joining Caterpillar Inc. At CAT, I observed and interviewed engineers, manufacturing workers, and operators, documenting production tasks and processes. Using computational and mathematical models, I improved safety measures, reorganized tasks, and optimized maintenance schedules. My industry experience motivates my research on the organization of work, productivity, innovation, and the dance between technologies and the skills people use at work.

Outside the Office

I enjoy playing soccer and volleyball, listening to music, and cooking in my spare time. I’m an avid reader, a huge fan of coffee. You'll find me strolling in streets with a cup of coffee in my hand, when I get the chance.