Janavi Kolpekwar
Academic Qualifications
- B.S. Statistics & Data Sciences, The University of Texas at Austin, May 2026
Biography
Janavi Kolpekwar graduated from The University of Texas at Austin with a B.S. in Statistics & Data Science. Her prior research applied statistical methods and machine learning to clinical data. She used data mining techniques and statistical tests to validate a noninvasive metric, Microvascular Resistance Reserve (MRRct), derived from coronary CT angiography to assess coronary artery disease risk. She also built a retrieval-augmented generation (RAG) diagnostic tool that retrieves similar immunohistochemistry case profiles to help cytopathologists diagnose metastatic cancer. Her industry experience includes a machine learning engineering internship at Siemens EDA, where she developed image processing scripts for internal products and tools within Siemens Calibre, the company's computational lithography department.
She joined UEIL as a Biomedical Imaging Data Science Scholar, where her research focuses on analyzing Harmonic Motion Imaging (HMI) data for tissue stiffness characterization.