Srinivasan Balaji

Srinivasan Balaji is an Assistant Professor of Statistics at The George Washington University, specializing in stochastic processes and their applications. His research focuses on stochastic differential equations, diffusion processes, and Markov chains, with implications in mathematical finance, queueing networks, and statistical learning theory.

Education

• Ph.D. in Statistics from the Indian Statistical Institute (1997)

Research Interests
Balaji investigates the mathematical foundations of diffusion processes in constrained domains, including recurrence/transience properties and boundary behavior. His work extends to risk-sensitive control, PAC-learnability, and reliability theory, bridging probabilistic models with real-world applications.

Publication Trends
His publications from 1997–2001 reveal a consistent focus on stochastic differential equations and Markov chains, with applications spanning mathematical finance, queueing networks, and machine learning. Notable subfields include reflecting diffusions in orthants, passage time moments, and risk-sensitive dynamic programming.