Biomedical informatics · Machine learning · Data science
I’m Dr. Sukrut Shishupal, a biomedical informatics researcher with a PhD from the University of Utah. I build reusable methods that turn environmental and healthcare time series into meaningful patterns for research.
Preserving the context.
A local pattern can reveal what an average leaves out.
Illustrative signal, not study data.
Selected work
From interpretable representations to reproducible analysis of real-world health data.
Featured project · Published at IEEE ICHI 2026
Making local air-quality dynamics searchable and reusable across studies, using short time-series subsequences called shapelets.
My focus: time-series preparation, temporal pattern extraction, and reusable exposure representations.
Explore the projectGeospatial analyses of telemedicine use, healthcare access, and estimated travel-related emissions savings.
Explore the researchExploring within-shift EHR interaction patterns through 30-minute windows of activity.
Read the research briefRepresenting protein interactions as amino acid networks to study binding affinity in 101 complexes.
Explore the projectTime-series analysis, shapelet methods, feature engineering, clustering, and statistical modeling.
Python, R, SQL, Java, large-scale data preparation, high-performance computing, and reproducible analytical workflows.
Environmental exposure assessment, EHR data, geospatial analysis, and interdisciplinary collaboration.
Peer-reviewed publications, research presentations, and teaching programming and biomedical data wrangling.
Selected publications
IEEE International Conference on Healthcare Informatics · First author
JAMIA Open · Co-author · Full title and citation on the publications page
Journal of Medical Internet Research · Second author · Full citation on the publications page
Let’s connect
I’m interested in applied machine learning, health data science, and research roles where interpretability and rigorous analysis matter.