Medical Student
University of Washington - School of Medicine
Mahimna Pandya is a third year medical student at the University of Washington, currently completing a dedicated research fellowship in Head and neck surgery where he aims to advance the integration of data science and machine learning into clinical medicine.
Mahimna’s work is centered around leveraging artificial intelligence and predictive modeling to enhance surgical decision-making, specifically in Otolaryngology–Head and Neck Surgery. His projects include developing machine learning algorithms to predict optimal candidates for hypoglossal nerve stimulation in obstructive sleep apnea, as well as refining decision-making protocols for sentinel lymph node biopsies in head and neck melanoma.
Passionate about the transformative potential of data science, Mahimna aims to bridge the gap between clinical practice and technological innovation. His goal is to establish systems where real-time data analytics and machine learning can significantly improve diagnostic accuracy, treatment personalization, and patient outcomes.
Mahimna aspires to pursue an academic career as a head and neck surgeon-scientist, contributing actively to the evolution of precision medicine through interdisciplinary collaboration and technological advancement.