Tanishka Goplani

Undergraduate Research Assistant @University Of Washington Bioengineering

Seattle, WA, US

Helped develop a deep learning model to predict cardiomyopathy risk in childhood cancer survivors, using data from 1,600+ echocardiographic studies across 200+ patients and 10 medical centers- Worked on segmentation techniques that led to a 20-point improvement in model performance- Contributed to an abstract accepted for presentation at the 2nd International Pediatric Cardio-Oncology Conference, highlighting the model’s potential for early risk detection- Currently exploring the use of generative AI tools to create synthetic clinical data, aiming to expand model training datasets and improve generalizability across patient populations.