Stefan Schulze Headshot

Stefan Schulze

Assistant Professor, Biology

Thomas H. Gosnell School of Life Sciences
College of Science

585-475-5659
Office Location

Stefan Schulze

Assistant Professor, Biology

Thomas H. Gosnell School of Life Sciences
College of Science

Education

BS, University of Potsdam, Germany; Ph.D., University of Munster, Germany

Bio

My research and expertise in the fields of proteomics, bioinformatics, and cell biology, focus on understanding protein glycosylation in prokaryotes. This interdisciplinary work aims to integrate advanced proteomics techniques with computational tools and cell biological assays, allowing for a comprehensive analysis of glycoproteins. This system-wide approach is crucial for unraveling the complexities of protein glycosylation, a post-translational modification that is highly diverse in prokaryotes (comprising bacteria and archaea). Since the importance of protein glycosylation in health and disease has been shown broadly, shedding light on the roles of glycoproteins in prokaryotes will open new paths to biomedical and biotechnological applications.

Collaboration and openness are central to the philosophy of the Schulze lab. We are committed to making our data and bioinformatic tools openly available to the scientific community, adhering to FAIR data sharing principles. Furthermore, we value a diversity of perspectives and background that drive innovation and discovery.

My own academic journey as a first-generation college student began in Germany at the University of Potsdam (B.S. in Biochemistry in 2010) before completing my further degrees at the University of Muenster (M.S. in 2013, Ph.D. in 2017). As an international scholar, I became a postdoctoral scholar at the University of Pennsylvania in 2017. In 2022, I started the Schulze lab at RIT. During these times I have worked on phage-bacteria interactions, microalgal proteomics, archaeal cell shape and biofilm formation, as well as bioinformatic tool development. Across my career stages, I have benefited not only from this interdisciplinary expertise, but also from exceptional mentors, and I am dedicated to mentoring the next generation of scientists in the same spirit.

For more information, please visit the Schulze lab website.

585-475-5659

Areas of Expertise

Select Scholarship

Invited Article/Publication
Ithurbide, Solenne, Nicole Buan, and Stefan Schulze. "Advancing archaeal research through FAIR resource and data sharing, and inclusive community building." Communications Biology. (2025). Web.
Journal Paper
Martinez-Zalbidea, Iker, et al. "CRISPR-dCas9 Activation of TSG-6 in MSCs Modulates the Cargo of MSC-Derived Extracellular Vesicles and Attenuates Inflammatory Responses in Human Intervertebral Disc Cells In Vitro." Cellular and Molecular Bioengineering 18. (2025): 83–98. Web.
Pohlschroder, Mechthild, et al. "Haloferax volcanii: a versatile model for studying archaeal biology." Journal of Bacteriology. (2025): 0:e00062-25. Web.
Chatterjee, Priyanka, et al. "Quorum sensing mediates morphology and motility transitions in the model archaeon Haloferax volcanii." mBio. (2025): 16:e00906-25. Web.
Pohlschroder, Mechthild, et al. "Haloferax volcanii: a versatile model for studying archaeal biology." Journal of Bacteriology 207. 6 (2025): 207:e00062-25. Web.
Schiller, Heather, et al. "Identification of structural and regulatory cell-shape determinants in Haloferax volcanii." Nature Communications 15. (2024): 1414. Web.
Ranff, Tristan, et al. "PeptideForest: Semisupervised Machine Learning Integrating Multiple Search Engines for Peptide Identification." Journal of Proteome Research. (2025): 929–939. Web.
Book Chapter
Pratyush, Pawel, et al. "Large Language Model (LLM)-Based Advances in Prediction of Post-translational Modification Sites in Proteins." Large Language Models (LLMs) in Protein Bioinformatics. New York, NY: Humana, 2025. 313-355. Print.

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