报告人：哈佛大学医学院 助理教授 Yang-Yu Liu博士
报告时间： 2018年5月9日（星期三）上午10：00-12：00
报告地点：新主楼G849
主办单位：大数据科学与脑机智能高精尖创新中心
报告题目：Controlling Human Microbiota
报告人简介：
Yang-Yu Liu is currently an Assistant Professor at Harvard Medical School (HMS) and an Associate Scientist at Brigham and Women’s Hospital (BWH). He received his Ph.D. in Physics from University of Illinois at Urbana-Champaign in 2009, with thesis research focusing on phase transitions in disordered magnets. After that, he held positions as Postdoctoral Research Associate and then Research Assistant Professor in the Center for Complex Network Research at Northeastern University, before he joined HMS and BWH in 2013. The primary goal of his postdoctoral research has been to combine tools from control theory, network science and statistical physics to address fundamental questions pertaining to the control of complex networks. His work on controllability and observability of complex networks have been featured as a cover story in Nature, a cover story in the PNAS, and received broad media coverage including Nature, Science, Science News, Science Daily, Wired, etc. His current research efforts focus on the study of human microbiome from the community ecology, dynamic systems and control theory perspectives. His recent work on the universality of human microbial dynamics has been published in Nature, and received broad media coverage including Nature, Nature Physics, Science Daily, Science News Line, Medical Research, Medical Press, etc. For more information, please visit http://scholar.harvard.edu/yyl/
报告摘要：
We coexist with a vast number of microbes—our microbiota—that live in and on our bodies, and play an important role in human physiology and diseases. Many scientific advances have been made through the work of large-scale, consortium-driven metagenomic projects. Despite these advances, there are still many fundamental questions regarding the dynamics and control of microbiota to be addressed. Indeed, it is well established that human-associated microbes form a very complex and dynamic ecosystem, which can be altered by drastic diet change, medical interventions, and many other factors. The alterability of our microbiome offers opportunities for practical microbiome-based therapies, e.g., fecal microbiota transplantation and probiotic administration, to restore or maintain our healthy microbiota. Yet, the complex structure and dynamics of the underlying ecosystem render the quantitative study of microbiome-based therapies extremely difficult. In this talk, I will discuss our recent theoretical progress on controlling human microbiota from dynamical systems and control theory perspectives [1-8].
References:
[1] Bashan A, Gibson TE, Friedman J, Carey VJ, Weiss ST, Hohmann EL, Liu Y-Y. Universality of Human Microbial Dynamics.
Nature 2016;534:259-262
[2] Gibson TE, Bashan A, Cao H-T, Weiss ST, Liu Y-Y.
On the Origins and Control of Community Types in the Human Microbiome.
PLoS Computational Biology 2016;12 (2):e1004688.
[3] Cao H-T, Gibson TE, Bashan A, Liu Y-Y.
Inferring Human Microbial Dynamics from Temporal Data: Pitfalls and Lessons.
BioEssays 2017;39(2):1600188.
[4] Xiao Y, Angulo MT, Friedman J, Waldor MK, Weiss ST, Liu Y-Y.
Mapping the ecological networks of microbial communities from steady-state data. Nature Communications 2017;8:2042.
[5] Chen Y, Angulo MT, Liu Y-Y.
Revealing complex ecological dynamics via symbolic regression.
bioRxiv:
[6] Tian L, Wu AK, Friedman J, Waldor MK, Weiss ST, Liu Y-Y.
Deciphering Functional Redundancy in the Human Microbiome.
bioRxiv:
[7] Gibson TE, Carey V, Bashan A, Hohmann EL, Weiss ST, Liu Y-Y.
On the Stability Landscape of the Human Gut Microbiome: Implications for Microbiome-based Therapies
bioRxiv:
[8] Angulo MT, Moog CH, Liu Y-Y.
Controlling microbial communities: a theoretical framework.
bioRxiv:
