Varsha Srinivasan

- Developed an integrated clinical-polygenic tool to predict the risk of colorectal cancer in participants
- Designed and implemented experiments aimed at testing the effectiveness of the risk prediction model
- Conducted extensive literature reviews and data analysis to inform research findings and ensure that results were grounded in the latest scientific research
- Collaborated with a multidisciplinary team of researchers and healthcare professionals to ensure that research was informed by diverse perspectives and responsive to the needs of patients

- Analyzed the WGS data of A. baylyi, which was subjected to adaptive laboratory evolution in order to break down lignin to produce green fuel
- Discovered, compiled, and analyzed the mutations undergone by the bacteria to understand the changes they caused

• Developed an integrated clinical-polygenic tool to predict the risk of colorectal cancer in participants • Designed and implemented experiments aimed at testing the effectiveness of the risk prediction model • Conducted extensive literature reviews and data analysis to inform research findings and ensure that results were grounded in the latest scientific research • Collaborated with a multidisciplinary team of researchers and healthcare professionals from Tempus Labs and Gastroenterology Atlanta to ensure that research was informed by diverse perspectives and responsive to the needs of patients

• Developed a user-friendly genome browser that incorporates current state-of-the-art downstream analyses and plugins for a cohesive, intuitive experience • Integrated large biological datasets to an all-in-one type approach to standard practice, aligning with the principles of human-computer interaction

• Explored a solution to the complexities of labeling biological data by analyzing MRI scans of brain tumor patients (brain tumor segmentation - gliomas) coupled with context restoration • Created a segmentation model, evaluated it using the Dice coefficient, and trained it using deep learning