Suvra Pal

Dr. Suvra Pal is an Associate Professor of Statistics at the University of Texas at Arlington. He holds a PhD from McMaster University and specializes in survival analysis, cure rate modeling, and machine learning applications in biostatistics. His NIH-funded research develops novel statistical methods for cancer prognosis and wound healing. Dr. Pal received the College of Science Outstanding Teaching Award (2022) and was nominated twice for UTA's President’s Teaching Excellence Award.

Key research areas include:

• Machine learning-enhanced cure models
• Interval-censored survival data
• Statistical methods for oncology
• Optimization algorithms

His publications demonstrate consistent innovation in survival analysis, with recent focus on SVM-based cure models and Fokker-Planck frameworks for cancer therapy optimization. Articles appear in Statistics in Medicine and Nature Communications.

Honors include:

• College of Science Teaching Award (2022)
• NSA Travel Award (2019)
• Best Paper Award, International Indian Statistical Association (2013)

Dr. Pal chairs dissertation committees for PhD students in statistics and serves as Associate Editor for multiple statistical journals. He secured over $1.2M in federal grants for projects integrating machine learning with biomedical research.