Machine learning · Healthcare · Uncertainty Quantification

Akash Choudhuri

PhD Candidate in Computer Science

University of Iowa

Portrait of Akash Choudhuri

I am a PhD candidate in Computer Science at the University of Iowa, advised by Prof. Bijaya Adhikari. My research develops reliable machine learning methods for healthcare, with an emphasis on hypergraphs, clinical risk prediction, and distribution-free uncertainty quantification.

I am part of the Computational Epidemiology Research Group and the AlgoEpi Reading Group. Before graduate school, I worked on model-risk validation for financial institutions at Solytics Partners.

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Recent milestones

  1. Paper First-author paper accepted at ACM KDD 2026.

  2. Talk Selected for an oral presentation at the KDD 2026 PhD Consortium.

  3. Award Awarded the University of Iowa Graduate College Post-Comprehensive Fellowship.

  4. Career Began a summer internship at Marshfield Clinic Research Institute.

  5. Paper Two papers accepted at SDM 2025.

  6. Paper First PhD paper accepted at ACM CIKM 2023.

  7. Career Joined the Data Science Summer Institute at Lawrence Livermore National Laboratory.

  8. Career Passed the PhD Qualifying Examination. Report and presentation.

  9. Career Began the PhD program and graduate research assistantship at the University of Iowa.