Sean Seyler
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Fulton Center 300 E University Dr Tempe, AZ 85281
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Mail code: 7805Campus: Tempe
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Sean Seyler is a Senior Project Manager with ASU Health whose work focuses on integrating research, innovation, and education across the ASU Health ecosystem. He designs and coordinates cross-cutting initiatives, linking faculty research, strategic partnerships, and translational research infrastructure to transform scientific discovery into measurable health outcomes.
Sean collaborates closely with ASU’s Knowledge Enterprise and colleagues across the university, along with clinical and industry partners, on strategic planning, translational research facilitation, and systems and infrastructure design. His work includes developing faculty support structures, collaborative frameworks, and knowledge-integration tools that strengthen ASU Health’s capacity for interdisciplinary research and translational impact.
Before joining ASU Health, Sean collaborated with the School of Molecular Sciences on research in analytical chemistry and microfluidics, developing new methods in separation science, translational assays, and molecular diagnostics. His research and laboratory work during the COVID-19 pandemic deepened his understanding of how discovery moves from bench to application and continues to inform his efforts at the interface of research and innovation. He also helped lead early foundational/translational research and engineering strategy for an NIH-funded MedTech venture, work that strengthened his interest in how scientific design principles translate into clinical impact.
Trained as a computational physicist, Sean brings a perspective that links theoretical, computational, and experimental science to the infrastructure and ecosystems that translate discovery into improved health and social outcomes. His work integrates foundational research in molecular and biological physics, technology-enabled learning, and medical technologies into a unified view of how scientific discovery, education, translational research, and scientific and health literacy interact with a complex, evolving ecosystem of science and society. Through this lens, he explores how understanding nature’s principles can lead to solutions that improve human health and well-being.
- Postdoctoral Research Scholar – Arizona State University, Department of Physics and Center for Biological Physics
- Ph.D. Physics – Arizona State University, Department of Physics
- M.Eng. Engineering Physics – Cornell University, School of Applied and Engineering Physics
- B.S. Engineering Physics – Cornell University, School of Applied and Engineering Physics
Streaming‑particle method for dielectrophoretic characterization. AKMFK Rasel, EP Ristich, MA Hayes, SL Seyler. Electrophoresis (2025). doi: https://doi.org/10.1002/elps.8146
Gradient insulator‑based dielectrophoresis of gold nanoparticles. A Ramirez, AKMFK Rasel, SL Seyler, MA Hayes. Electrophoresis (2025). doi: https://doi.org/10.1002/elps.8119
Enhanced green fluorescent protein streaming dielectrophoresis in insulator-based microfluidic devices. J Sheu, SL Seyler, AKMFK Rasel, MA Hayes. Electrophoresis (2024). doi: 10.1002/elps.202400123
A numerical study on microfluidic devices to maintain the concentration and purity of dielectrophoresis-induced separated fractions of analyte. AKMFK Rasel, SL Seyler, MA Hayes. Analytical and Bioanalytical Chemistry 415, 4861–4873 (2023). doi: 10.1007/s00216-023-04795-4
Molecular hydrodynamic theory of the velocity autocorrelation function. SL Seyler, CE Seyler. The Journal of Chemical Physics 159(5), 054108 (2023). doi: 10.1063/5.0153649
Surmounting potential barriers: Hydrodynamic memory hedges against thermal fluctuations in particle transport. SL Seyler, S Pressé. The Journal of Chemical Physics 153(4), 041102 (2020). doi: 10.1063/5.0013722
Long-time persistence of hydrodynamic memory boosts microparticle transport. SL Seyler, S Pressé. Physical Review Research 1(3), 032003(R) (2019). doi: 10.1103/PhysRevResearch.1.032003
Hydrodynamic interaction facilitates the unsteady transport of two neighboring vesicles. J Lee, SL Seyler, S Pressé. The Journal of Chemical Physics 151(9), 094108 (2019). doi: 10.1063/1.5113880
Structure of the SLC4 transporter Bor1p in an inward‐facing conformation. N Coudray, SL Seyler, R Lasala, Z Zhang, KM Clark, ME Dumont, A Rohou, O Beckstein, DL Stokes. Protein Science 26(1), 130-145 (2017). doi: 10.1002/pro.3061
MDAnalysis: a Python package for the rapid analysis of molecular dynamics simulations. RJ Gowers, M Linke, J Barnoud, TJE Reddy, MN Melo, SL Seyler, DL Dotson, J Domanski, S Buchoux, IM Kenney, O Beckstein. Proceedings of the 15th Python in Science Conference 98-105 (2016). doi: 10.25080/majora‑629e541a‑00e
datreant: persistent, Pythonic trees for heterogeneous data. DL Dotson, SL Seyler, M Linke, RJ Gowers, O Beckstein. Proceedings of the 15th Python in Science Conference, 51-56 (2016). doi: 10.25080/Majora‑629e541a‑007
Path similarity analysis: a method for quantifying macromolecular pathways. SL Seyler, A Kumar, MF Thorpe, O Beckstein. PLOS Computational Biology 11(10): e1004568 (2015). doi: 10.1371/journal.pcbi.1004568
Sampling large conformational transitions: adenylate kinase as a testing ground. SL Seyler, O Beckstein. Molecular Simulation 40(10-11), 855-877 (2014). doi: 10.1080/08927022.2014.919497