Sukriti Paul

I’m a Genome Data Scientist at a Biotech startup where I leverage ML in bioinformatics to help understand novel disease-causing targets better and contribute to building our enterprise cloud & data infrastructure. I have a deep passion for understanding the code of life and enjoy tackling open-ended problems in the healthcare sector. My experiences as a Data Scientist, acquired across academic, corporate and entrepreneurial settings have helped me provide fresh and holistic perspectives to problems in the Life Sciences space. 
 

My primary areas of interest are AI in Bioinformatics, Genome Data Science and Health Inequality. I'm keen on transitioning to Trustworthy AI.
 

Under the guidance of Dr. Sudhakaran Prabakaran, I have developed and implemented ML algorithms to predict protein structures, understand the effects of mutations in proteins, study the evolutionary properties of novel proteins, and perform subcellular localization. At the Indian Institute of Science, I worked on the classification, semantic segmentation, clustering, medical image synthesis and instance segmentation of abnormalities in Wireless Capsule Endoscopy images. Dr. Chandra Sekhar Seelamantula was my PI, and we collaborated with the Command Hospital Air Force Bangalore for this research endeavour.