Dr. Xiaojun Tian lab at Arizona State University is seeking highly self-motivated Postdoctoral Fellows and Ph.D. students with excellent quantitative training and communication skills. Candidates with a strong background in Biology, Biomedical/Biochemical Engineering, Physics, Applied Math, or other relevant fields are strongly encouraged to apply. Past research experience in quantitative biology, synthetic biology, or systems biology is strongly preferred. Successful candidates will be supported by Dr. Tian’s recent NIH R35 grant (Maximizing Investigator’s Research Award) award.
Currently, Dr. Tian’s lab interests are in employing quantitative experiments and mathematical modeling to address fundamental problems at the interface of synthetic biology and systems biology. The lab focuses on controlling the interactions between the synthetic gene circuit and host cells to optimize engineered synthetic gene circuits for robust applications in a real-world setting, such as the complicated tumor microenvironment. Over the past four years, the lab has been exploring the mechanisms underlying functional loss due to circuit-host interactions and developing new control strategies to enhance synthetic gene circuits’ function. The lab has made significant achievements in this field, along with several publications in high-impact journals (Nat. Comm., Nat. Chem. Biol., ACS Synth. Biol., American Control Conference , and PLoS Comp. Biol. , and several articles pending revisions and in review. For more information, please visit the lab website (https://tianlaboratory.com)
Interested candidates should send a CV (Curriculum Vitae), Personal Statement, Research Statement, College Transcript (for ph.d Students), a list of three references, and a cover letter to firstname.lastname@example.org.
1. Zhang, R., Goetz H, Melendez-Alvarez, J., Li J., Ding, T., Wang, X., and Tian, X.-J.*, Winner-Takes-All Resource Competition Redirects Cascading Cell Fate Transitions. Nature Communications.12, 853, 2021.
2. Zhang, R., Li J., Melendez-Alvarez, J., Chen, X., Sochor, P., Zhang, Q., Goetz H, Ding, T., Wang, X., and Tian, X.-J., Topology-Dependent Interference of Synthetic Gene Circuit Function by Growth Feedback, Nature Chemical Biology. 16, 695-701, 2020.
3. Melendez-Alvarez, J., He, C., Zhang, R., Kuang, Y., and Tian, X.-J., Emergent Damped Oscillation Induced by Nutrient-Modulating Growth Feedback. ACS Synthetic Biology, 10, 5, 1227-1236, 2021.
4. Stone A., Zhang, R. r, and Tian, X.-J.*, Coupling Shared and Tunable Negative Competition Against Winner-Take-All Resource Competition Via CRISPRi Moieties. 2021 American Control Conference (ACC), 1882-1882, 2021.
5. Goetz, H., Melendez-Alvarez, J., Chen, L., and Tian, X.-J. A Plausible Accelerating Function of Partial EMT States in Cancer Metastasis, PLOS Computational Biology, 16(3):e1007682. 2020.
Tagged as: Engineering, Life Sciences
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