معرفی
Xiaojun Tian is an Associate Professor at Arizona State University's School of Biological and Health Systems Engineering. He leads the Tian Laboratory, which focuses on quantitative approaches to understanding biological systems through the integration of mathematical modeling and experimental techniques. His work bridges systems biology, synthetic biology, and biomedical engineering.
Education:
- Ph.D. in Systems Biology from Nanjing University (2012)
- Postdoctoral Fellow at Virginia Tech (2012-2014)
- Postdoctoral Fellow at University of Pittsburgh (2014-2017)
Research Interests: Dr. Tian's research spans multiple interdisciplinary areas at the intersection of biology, engineering, and mathematics. His laboratory employs quantitative experiments and mathematical modeling to investigate fundamental problems in systems and synthetic biology, with particular focus on gene circuits, nonlinear dynamics, and cellular decision-making processes. His work on epithelial-mesenchymal transition (EMT) has provided important insights into cancer metastasis and tissue development. The lab's approach combines theoretical frameworks with experimental validation to develop predictive models of biological behavior.
Research Trends: Analysis of Dr. Tian's recent publications reveals a strong focus on resource competition in synthetic gene circuits, growth feedback mechanisms, and the development of robust control strategies for biological systems. His work increasingly integrates concepts from nonlinear dynamics, control theory, and systems biology to address challenges in synthetic biology engineering. Recent publications demonstrate a shift toward more complex multi-module circuit designs and the development of strategies to mitigate context-dependent circuit failures.
Scientific Awards:
- NIH Maximizing Investigators' Research Award (MIRA)
- NSF Career Award
Advising and Grants: Dr. Tian has successfully mentored graduate students including Diego Barra Avila (who successfully defended his Master's Thesis) and Hanah (who passed her comprehensive exam). His research is supported by multiple significant grants including an NIH grant titled "Multi-Scale Engineering of Heterogeneity in the Host-Aware Synthetic Gene Circuits" (2021-2026), an NSF grant on "Epigenetics Control by Noncoding RNA" (2019-2022), and an NSF CAREER award "Molecular and Cellular Mechanisms Underlying Circuit-Host Interactions" (2022-2027).
Laboratory: The Tian Laboratory at ASU focuses on developing quantitative approaches to understand and engineer biological systems. The lab actively recruits talented and motivated graduate students interested in interdisciplinary research at the interface of biology, engineering, and mathematics. Current research directions include investigating circuit-host interactions, developing strategies to address resource competition in synthetic gene circuits, and understanding the dynamical mechanisms underlying cellular decision-making processes.
