Tejas Ramdas

Biography

Tejas Ramdas is a Ph.D. candidate in Management at the S.C. Johnson College of Business, Cornell University. His research explores how firms capture value from emerging technologies, with particular attention to strategic sequencing, technological networks, and the challenges of technology adoption and value capture.

His dissertation investigates how the structure of early adopters shapes the speed and scope of technology uptake across industries, and how this affects value capture for both adopting firms and the inventors of these technologies. More broadly, his work examines how firms position themselves to benefit from technological change, while balancing opportunities for growth with risks of misalignment.

Tejas is also a Ph.D. candidate in Statistics and Data Science at Cornell. Trained in advanced quantitative methods, he draws on these tools to develop and apply theory addressing core questions in strategy, value capture, and organizational advantage.

Previously, he served as a Research Associate at Harvard Business School, studying organizational economics and executive leadership, and worked at Morgan Stanley in analytics and innovation. He holds an M.S. in Applied Mathematics and an M.A. in Economics from the University of Colorado, Denver, and a B.E. in Mechanical Engineering from Visvesvaraya Technological University, India.

At Cornell, Tejas has taught multiple undergraduate and graduate-level courses in statistics and quantitative methods, and has contributed to several MBA courses in Strategy and Innovation as a teaching assistant.