Sayantee Jana

Sayantee Jana is a Full-time Assistant Professor in the Department of Mathematics at Indian Institute of Technology Hyderabad. She specializes in statistics and machine learning with applications across finance, healthcare, and clinical trials.

• PhD in Mathematical Statistics (2017) from McMaster University
• Postdoctoral Fellow at University of Toronto (2017-2018)

Research Focus: Combines statistical theory with practical applications including:

• Big data analysis through data mining techniques
• Adaptive Gaussian Hermite Quadrature for spatio-temporal modeling
• Bayesian methods for skewed financial data
• Clinical trial design optimization

Scientific Recognition:

• Recipient of prestigious Queen Elizabeth Scholarship
• Fields Institute Research Fellow
• Florence Nightingale Award winner (2020)

Collaborations: Maintains active partnerships with researchers from University of Toronto, University of Ottawa, and IQVIA Germany. Offers funded opportunities for PhD candidates, postdocs, and summer interns.