Bio

Sreeja is a student interested in biology, machine learning and cancer research. She is passionate about applying computational methods to understand tumor microenvironment interactions and improve cancer modeling and prediction. She has competed at the International Science and Engineering Fair (ISEF) twice and presented her research at the American Junior Academy of Sciences (AJAS) twice as well. In her free time, she loves sunrise and sunset walks, taking those moments to think, reset and just enjoy quiet time outdoors. She's always reading random science news online, anything from new AI breakthroughs to fascinating biology discoveries.

Project: Modeling Dosing Regimens with Pharmacokinetic Models for Personalized Glibenclamide Therapy