Education: B.Tech Medical Biotechnology, MS Informatics
Title: Research Analyst
Address: HITS Building, 410 W 10th Street, Indianapolis, IN 46202, USA
Research Keywords: Deep learning/machine learning, tumor prediction (segmentation and classification), digital pathology and radiology
Links:
Google Scholar
LinkedIn
GitHub
Research Summary and Bio: Sanyukta is a research analyst at the Division of Computational Pathology specializing in image processing techniques for both digital pathology and radiology. Her work primarily focuses on preprocessing brain tumor radiology data for tumor prediction (classification and segmentation) modeling. In the digital pathology domain, she develops and evaluates image normalization techniques to improve the consistency and reliability of computational workflows. Additionally, her research extends to survival prediction in breast cancer, where she uses imaging features obtained from clinical data to support prognostic modeling and precision medicine initiatives.
Professional Organizations/Memberships: MICCAI Society
Featured publications:
You, S., Adap, S., Thakur, S., Baheti, B. and Bakas, S., 2024. Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow. arXiv preprint arXiv:2409.02284.