Summary
Krithika Iyer is a postdoctoral research fellow specializing in machine learning, probabilistic and deep learning methods, and statistical shape modeling with a strong focus on medical image analysis for pediatric care. With about eight years of experience spanning industry and academia, she blends rigorous PhD-level research from the University of Utah with practical problem-solving gained at IBM and in R&D roles. Currently advising Dr. Marius George Linguraru at Children’s National Hospital, she develops computational tools to improve diagnosis and treatment workflows in pediatric surgery. Her work bridges foundational probabilistic modeling and applied deep learning, often emphasizing uncertainty-aware models for clinical decision support. Beyond publications and lab projects, she brings experience mentoring and teaching graduate students and converting research prototypes into reproducible code and clinical-ready pipelines. She is based in Washington, D.C., and uniquely combines banking and enterprise software internship experience with advanced biomedical AI research.
7 years of coding experience
8 years of employment as a software developer
The University of Utah
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Maharashtra Institute of Technology
English, Hindi, Marathi, Tamil