Serena Lotreck

Scholar, MSU-DOE Plant Research Laboratory
Pronouns: she/hers
Location: 106 Armstrong Hall
Email: lotrecks@msu.edu
CV: Download CV
Profile photo of Serena Lotreck
Photo of: Serena Lotreck

Bio

###Lab
[Walker Lab](www.berkleywalker.org)

### Education
* Ph.D. Plant Biology, 2024, Michigan State University
* B.A. Biochemistry, 2019, Cornell University

### Research
I am an interdisciplinary data scientist with a focus on using computational techniques to answer questions about plant biology. In my doctoral work, I focused on the use of machine learning techniques from the field of Natural Language Processing to generate novel hypotheses about the mechanisms desiccation tolerance from the literature. As a postdoc, I use transcriptomic and proteomic data and metabolic flux analysis to study the biology of photorespiration.

Selected Publications

  • Bryson, A. E., Wilson Brown, M., Mullins, J., Dong, W., Bahmani, K., Bornowski, N., ... & Chitwood, D. H. (2020). Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves. Applications in plant sciences, 8(12), e11404. View Publication
  • Cusack, S. A., Wang, P., Lotreck, S. G., Moore, B. M., Meng, F., Conner, J. K., ... & Shiu, S. H. (2021). Predictive models of genetic redundancy in Arabidopsis thaliana. Molecular Biology and Evolution, 38(8), 3397-3414. View Publication
  • Kumar, J., Gomez-Cano, F., Hunt, S. W., Lotreck, S. G., Mathieu, D. T., Wilson, M. L., & Long, T. M. (2023). Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes. CourseSource, 10. View Publication
  • Lotreck, S. G., Ghassemi, M., & VanBuren, R. (2024). Unifying the Research Landscape of Desiccation Tolerance to Identify Trends, Gaps, and Opportunities. bioRxiv, 2024-06. View Publication
  • Lotreck, S., Segura Abá, K., Lehti-Shiu, M. D., Seeger, A., Brown, B. N., Ranaweera, T., ... & Shiu, S. H. (2024). Plant Science Knowledge Graph Corpus: a gold standard entity and relation corpus for the molecular plant sciences. in silico Plants, 6(1), diad021. View Publication
  • Wang, P., Lehti-Shiu, M. D., Lotreck, S., Segura Abá, K., Krysan, P. J., & Shiu, S. H. (2024). Prediction of plant complex traits via integration of multi-omics data. Nature Communications, 15(1), 6856. View Publication