Sajid Hossain, MD
Hospital ResidentDownloadHi-Res Photo
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Hospital Resident
Biography
Sajid grew up in Long Island and attended college at Villanova University. He studied Electrical Engineering in undergrad and Sustainable Engineering in grad school. He received his MD from Yale School of Medicine in 2024 where he completed a year of research to develop imaging biomarkers to improve risk stratification for prostate cancer patients. He is currently a resident in Radiation Oncology at Yale and his research interests include developing deep learning and machine learning algorithms on multimodal datasets to improve prognostication and risk stratification for cancer patients. His hobbies include home improvement, investments, and weightlifting.
Last Updated on April 09, 2025.
Departments & Organizations
Education & Training
- Intern
- Saint Mary's Hospital (2025)
- MD
- Yale School of Medicine (2024)
- MS
- Villanova University, Sustainable Engineering (2019)
- BS
- Villanova University, Electrical Engineering (2016)
Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Sajid Hossain's published research.
Publications Timeline
A big-picture view of Sajid Hossain's research output by year.
Harlan Krumholz, MD, SM
MingDe Lin, PhD
Sanjay Aneja, MD
4Publications
100Citations
Publications
2025
goloco: a web application to create genome scale information from surprisingly small experiments.
Hossain SM, Rao Y, Hossain JO, Pritchard JR, Zhao B. goloco: a web application to create genome scale information from surprisingly small experiments. BMC Bioinformatics 2025, 26: 61. PMID: 39994507, DOI: 10.1186/s12859-025-06070-y.Peer-Reviewed Original Research
2023
Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation
Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering 2023, 10: 181. PMID: 36829675, PMCID: PMC9952534, DOI: 10.3390/bioengineering10020181.Peer-Reviewed Original ResearchCitationsAltmetricConceptsLimited training dataDice scoreComputational memoryTraining dataBrain imagesDeep-learning methodsHigher Dice scoresSegmentation accuracyAuto-segmentation modelComputational speedPerformance metricsOne-sliceAuto-SegmentationBetter performanceConsecutive slicesImagesDeploymentLowest Dice scoresMemoryPerformanceTrainingMetricsModelAccuracyData
2022
SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics.
Wikle NB, Tran TN, Gentilesco B, Leighow SM, Albert E, Strong ER, Brinda K, Inam H, Yang F, Hossain S, Chan P, Hanage WP, Messick M, Pritchard JR, Hanks EM, Boni MF. SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics. Sci Adv 2022, 8: eabf9868. PMID: 35080987, DOI: 10.1126/sciadv.abf9868.Peer-Reviewed Original Research
2021
Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts.
Tran TN, Wikle NB, Albert E, Inam H, Strong E, Brinda K, Leighow SM, Yang F, Hossain S, Pritchard JR, Chan P, Hanage WP, Hanks EM, Boni MF. Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts. BMC Med 2021, 19: 162. PMID: 34253200, DOI: 10.1186/s12916-021-02038-w.Peer-Reviewed Original Research
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