Organization profile
Organization profile
Started in 1942 by Jay C. Hormel, The Hormel Institute, University of Minnesota has a eight-decade history of making significant scientific discoveries aimed at improving the health of the world. The Hormel Institute is an independent biomedical research department within the University of Minnesota’s Office of the Vice President for Research. Collaborative research partners include Masonic Cancer Center UMN, Mayo Clinic, and many other leading research centers worldwide. The Hormel Institute, which tripled in size in 2008 and doubled again in size in 2016, is home to some of the world’s most cutting-edge research technologies and expert scientists. Over the next few years, The Hormel Institute will broaden its impact through innovative, world class research in its quest to improve human health.
The mission of The Hormel Institute is to conduct research and provide education in the biological sciences with applications in medicine and agriculture. In pursuit of this mission, and as intended by its founders, The Hormel Institute generates fundamental knowledge and disseminates it to the scientific community worldwide. It also serves as a center of technical and educational expertise for the benefit of the Austin community, the surrounding region and the State of Minnesota.
Our Vision: We inspire discoveries that improve and extend human life.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Profiles
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Amer Alam
- The Hormel Institute - Associate Professor
- Cellular Mechanisms of Cancer
Person: Member, Faculty
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Computational Methods to Analyze Gene Expression Data Using MATLAB/Python and Machine Learning
Guinovart, D. (PI)
SOC FOR INDUSTRIAL & APPLIED MATHEMATICS
2/1/26 → 8/7/26
Project: Research project
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Estrogen-induced NALCN suppression promotes both metastasis and resistance to anti-estrogen therapy
Alam, S. K. (PI), Rahrmann, E. P. (CoI), Cheng, T. (Other Role) & Terranova, S. (Other Role)
1/1/26 → 12/31/26
Project: Research project
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Drug repurposing for a host-directed treatment for systemic bacteremia
French, J. (PI) & Aziz, F. (Other Role)
DR. RALPH & MARIAN FALK MED RES TRUST
11/30/25 → 5/31/27
Project: Research project
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Analysis of Protein and Lipid Dynamics Using Confocal Fluorescence Recovery After Photobleaching
Day, C. A., Kraft, L. J., Kang, M. & Kenworthy, A. K., Jan 2026, In: Current Protocols in Microbiology. 6, 1, e70298.Research output: Contribution to journal › Article › peer-review
Open Access -
An optimization-based framework for gene expression-based diagnostic classification of Wilms tumor
Qaraad, M., Zhang, T. & Guinovart, D., Jun 2026, In: Machine Learning: Science and Technology. 7, 3Research output: Contribution to journal › Article › peer-review
Open Access -
An optimized computational framework for non-small cell lung cancer subtype classification and biomarker discovery
Qaraad, M., Hoeppner, L. H., Shakir, B. & Guinovart, D., Feb 2026, In: Artificial Intelligence Review. 59, 2, 53.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations
Datasets
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Data associated with the publication: Iron oxide nanoparticles inhibit tumor progression and suppress lung metastases in mouse models of breast cancer
Korangath, P., Jin, L., Yang, C.-T., Healy, S., Guo, X., Ke, S., Grüttner, C., Hu, C., Gabrielson, K., Foote, J., Clarke, R., Ivkov, R., Rivkov1@JhmiEdu, F. Q. A. T. D. C. R. I. V., Dataservices@JhuEdu, F. Q. A. A. T. T. D. C. J. H. U. D. S. V. & Ivkov, R., Johns Hopkins Research Data Repository, 2024
DOI: 10.7281/t1/ktog9w, https://archive.data.jhu.edu/citation?persistentId=doi:10.7281/T1/KTOG9W
Dataset
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H4S47 phosphorylation. Ryu et al.
Ryu, J., Unknown Publisher, Jul 23 2019
DOI: 10.17632/p8ywcnx6cz.1, https://data.mendeley.com/datasets/p8ywcnx6cz
Dataset
Press/Media
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Breakthrough research using light- activated proteins for targeted therapy
10/30/20
1 item of Media coverage
Press/Media: Research
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Innovative tech used in research leads to breakthrough in understanding breast cancer
10/25/20
1 item of Media coverage
Press/Media: Research
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Institute Scientists Receive Award for Pediatric Brain Tumor Research
Hinchcliffe, E. H., Day, C. A. & Robinson, J.
10/21/20
1 item of Media coverage
Press/Media: Expert Comment or Interview