Silvia Sharna

Assistant Professor of Practice, Ph.D., 2024
Bowling Green State University; Machine Learning & Biostatistics

Silvia Sharna's primary research area is in the field of machine learning and biostatistics.
Key areas include: incorporating machine learning algorithms in medical data to find the
hidden patterns and increase the disease detection accuracy; statistical modeling; data
visualization; technology adoption models for cloud computing; monitoring machine
ethics to train AI. Her primary field of research combines techniques from machine
learning and biostatistics to solve problems in the field of healthcare.

Office: Physics A-137