CV

Krithika Iyer

Contact: k[lastname] [at] cnmc [dot] org Google Scholar: link
GitHub: link

Research Interests

Statistical Shape Modeling; Probabilistic Modeling; Deep Learning; Medical Image Analysis; Computer Vision

Education

• Ph.D. Computing (Image Analysis), Univ. of Utah (2025)
  Dissertation: Unsupervised Machine Learning Frameworks for Statistical Shape Modeling from Surfaces and Images
  Advisor: Dr. Shireen Elhabian
• B.E. Electronics and Telecommunication, Maharashtra Institute of Technology, Univ. of Pune (2015)

Research Experience

• Postdoctoral Research Fellow, Children’s National Hospital, DC (Mar 2025–Present)
  • Developing deep learning methods for super-resolution for pediatric ultra-low-field MRI in LMICs with the UNITY consortium, advancing accessible medical imaging.
• Graduate Research Assistant, Scientific Computing and Imaging Institute, Univ. of Utah (2020–2025)
  • Probabilistic and deep learning for medical imaging; unsupervised anatomical shape modeling; ShapeWorks development; mentorship and interdisciplinary collaborations.
• Graduate Research Assistant, Materials Science, Univ. of Utah/Idaho National Labs (2019–2020)
  • Molecular dynamics and ML for alloy property analysis.

Leadership

• Organizer, LISA 2025-2026 Challenge @ MICCAI
• President/Chair, GradSWE, University of Utah (2021–2023)

Academic Service

Conference Reviewer: MICCAI (2023–2026), MIUA (2024), IPMI (2025), MIDL (2025), ISBI (2026) Journal Reviewer: IEEE Trans. Med. Imaging (2024), WIREs Data Mining & Knowledge Discovery (2024), IEEE Trans. Circuits Syst. Video Tech. (2023)
Community Judge, University of Utah Science & Engineering Fair (2022) Session Chair: ISBI (2026)

Awards

• Best Paper, MIUA 2024
• Manager’s Choice Award, IBM (2016)
• High Academic Performance, Univ. Pune (2015)