About Me
I am a Ph.D. candidate in Information Systems at the Naveen Jindal School of Management, The University of Texas at Dallas. My academic advisors are Dr. Vijay Mookerjee, Dr. Ganesh Janakiraman, and the late Dr. Milind Dawande. I am on the academic job market in 2026–27, and I was selected for the ICIS Doctoral Consortium and the INFORMS ISS Doctoral Consortium in 2026.
My research broadly examines three areas: the design of digital platforms and markets, dynamic resource-allocation and pricing decisions, and the design and operation of AI-enabled service systems. Across these areas, I study how firms and platforms make decisions while anticipating the responses of customers, advertisers, and sellers. These themes motivate my current work on real-time bidding in digital advertising, alternative architectures for digital marketplaces, and the cost-effective use of generative AI. In addition, I am working on a research project that examines the economics of cyber-insurance.
Methodologically, I combine analytical modeling with empirical and computational analysis. I draw on game theory, auction theory, optimization, and control theory to characterize equilibrium outcomes and optimal policies, and use data to estimate model inputs, calibrate models, and evaluate their managerial implications.
Research
Job Market Paper
- “Building Demand While Selling Inventory: Dynamic Bidder Management in Digital Out-of-Home RTB Platforms.” (with Ganesh Janakiraman and Vijay Mookerjee). Manuscript in preparation.
Under Review
- “Win-Curves in Real-Time Bidding: A Micro-Foundation.” (with the late Milind Dawande, Ganesh Janakiraman, and Vijay Mookerjee). Major revision at Decision Sciences.
Presented at CIST 2024, INFORMS 2024, Big XII+ MIS Research Symposium 2025, and POMS 2025.
Work in Progress
- “Reimagining Digital Markets: Evaluating Platform Dominance and Network Alternatives.” (with Kai Sun, Ganesh Janakiraman, and Vijay Mookerjee).
Presented at CIST 2025, INFORMS 2025, DSI 2025, and POMS 2026. - “Making Cyber-insurance Accessible: Designing Premiums Under Strategic Claiming.” (with Ganesh Janakiraman and Vijay Mookerjee). Analysis underway.
- “Retrieve or Reason? Cost-Effective Routing in Hybrid AI Chatbots.” (with Aditya Karanam, Ganesh Janakiraman, and Vijay Mookerjee). Dataset obtained from an industry partner.
Teaching
Instructor. ITSS 4381 Object-Oriented Programming with Python (Fall 2024, Fall 2025, and Summer 2026). Student evaluation: 4.75/5.00 (Fall 2024).
Teaching assistant. Applied Natural Language Processing, Applied Deep Learning, Applied Machine Learning, Special Topics in Business Analytics, Managing IT in the Analytics Age, and Systems Analysis and Project Management.
Teaching interests. Programming with Python, object-oriented design, applied machine learning, business analytics, and data-driven decision making and optimization. I am keen to develop new electives on digital advertising markets and auctions, applications of AI in business, and applications of large language models.
Service
Ad-hoc reviewer, journals. Information Systems Research, Information Technology and Management, Dynamic Games and Applications, and Production and Operations Management.
Ad-hoc reviewer, conferences. Conference on Information Systems and Technology, International Conference on Information Systems, and Workshop on Information Technologies and Systems.
Conference organization. BizAI Conference, UT Dallas (2025 and 2026).
Background
Before joining UT Dallas, I received an M.Sc. in Data Science from the Chennai Mathematical Institute, worked as a scientist at Pfizer Healthcare India, and earned a Ph.D. in Drug Delivery and Pharmacokinetics from BITS-Pilani.