Tyler Guinn

Tyler Guinn

Education:

Ph.D., Biomedical Engineering, 2020

B.S., Biochemistry, University of Texas at Dallas

Current Position:

6th Year MSTP

4th Year Medical Student

Advisor:

Gábor Balázsi

Graduate Program:

Biomedical Engineering

Research Interest:

I am generally interested in genetic engineering, synthetic biology, systems biology, quantitative biology, cancer biology, & tissue engineering. My previous work focused on utilizing genetics, synthetic biology tools, & quantitative biology for molecular diagnostics and cellular computing on a variety of cancer markers using gene circuits. My Ph.D. involved creating optogenetic gene circuits that controlled gene expression in a dose-responsive spatiotemporal manner. Applications I explored during my PhD included expressing cancerous genes, EMT genes, and differentiation genes under the gene circuits that I engineered to elucidate new information on cancer metastasis and tissue engineering purposes.

Publications:

1.    #Guinn, M.T. & Balázsi, G. (2020). Methods for Controlling Noise-Reducing LITer Gene Circuits. Journal of Visualized Experiments, Invited Article, In preparation.
2.    #Guinn, M.T. & Balazsi, G. (2019). A new resource for future and current quantitative biologists. The Quarterly Review of Biology, 94, Issue 4, December 2019, https://www.journals.uchicago.edu/doi/abs/10.1086/706383.
3.    #Guinn, M.T. & Balazsi, G. (2019). Noise-Reducing Optogenetic Negative-Feedback Gene Circuits in Human Cells. Nucleic Acids Research, gkz556, https://doi.org/10.1093/nar/gkz556
4.    Zañudo, JGT, #Guinn, M.T., Farquhar, K., Szenk, M., Steinway, S.N., Balazsi, G., & Albert, R. (2019). Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition. Physical Biology. doi: 10.1088/1478-3975/aaffa1.
5.    Ehrhardt, K.*, Guinn, M. T.*, Quarton, T., Zhang, M., & Bleris, L. (2015). Reconfigurable hybrid interface for molecular marker diagnostics and in-situ reporting. Biosensors and Bioelectronics, Volume 74, 15 December 2015, Pages 744-750, ISSN 0956-5663, .doi.org/10.1016/j.bios.2015.07.035. (*equal contribution)
6.    Guinn, M. & Bleris, L. (2014). Biological 2-Input Decoder Circuit in Human Cells. ACS Synthetic Biology. doi: 10.1021/sb4001596
7.    Li, Y., Moore, R.*, Guinn, M.*, & Bleris, L. (2012). Transcription activator-like effector hybrids for conditional control and rewiring of chromosomal transgene expression. Scientific Reports 2: 897. (*equal contribution)
# Indicates publication during MSTP training.

Conferences:

1.    Guinn, M., Coraci, D., Ledalla, K., & Balazsi, G.  (2020, Mar.). “Synthetic Gene Circuits Reveal how KRAS(G12V) Affects Cell Proliferation & Migration Patterns.” 2020 American Physical Society (2020): Denver, Colorado. Oral presentation.
2.    Guinn, M. & Balazsi, G.  (2019, Jul.). “Mammalian Gene Expression Control & Noise Reduction using Optogenetic Negative Feedback Circuits” qBio 2019 Conference: San Francisco, California. Poster & Spotlight Talk.
3.    Guinn, M. & Balazsi, G.  (2019, Jun.). “Noise-Reducing Optogenetic Circuits in Mammalian Cells.” 2019 Synthetic Biology: Engineering, Evolution, & Design Conference (SEED 2019): New York, New York. Submitted. Poster Presentation & Rapid Fire Talk.
4.    Guinn, M. & Balazsi, G.  (2019, Apr.). “Optogenetic Gene Circuits for Unraveling Potential Drug Targets through Precision Gene Expression Control” The Future of Principles-Based Drug Discovery: Mt Sinai-Laufer Center Retreat: Stony Brook NY, NY. Oral Presentation.
5.    Guinn, M. & Balazsi, G.  (2018, Mar.). “Synthetic Gene Circuits Controlling Precise Biological Pattern Formation in Multicellular-Mammalian Systems.” 2019 American Physical Society (2019): Boston, Massachusetts. Oral presentation.

Awards:

President's Award to Distinguished Doctoral Students, 2020
American Physical Society, Division of Biological Physics, Shirley Chan Student Travel Grant, 2019
National Defense Science and Engineering Graduate Fellowship, NDSEG (DoD fellowship), 2019

Website:
https://you.stonybrook.edu/mtguinn/