Recognizing Plant Physiology authors: Chenyong Miao
Chenyong Miao, first author of Increased power and accuracy of causal locus identification in time-series genome-wide association in sorghum
Current Position: PhD candidate in the Schnable lab at the University of Nebraska-Lincoln
Education:
Ph.D. in Agronomy (in progress ) at the University of Nebraska-Lincoln since 2016
M.S. in Bioinformatics from Fujian Agriculture and Forestry University in 2016
B.S. in Biotechnology from Henan University of Science and Technology in 2013
Non-scientific Interests: soccer, basketball, fishing, hiking
Brief bio: I started working on research in my masters when I was admitted to FAFU in 2013 where I worked with a professor named Haibao Tang who was part of the Genomics and Biotechnology Center. In his lab I learned to program in python and write code for new types of analyses of plant genomics data. Two of the tools I helped write were later published, and I also helped to assemble and annotate the pineapple genome while I was a graduate student there. After I finished my masters, I came to the Schnable lab at UNL in 2016 as a PhD student. In this lab, I’ve gotten to work with people in the engineering, statistics, and computer science departments as I try to develop and apply phenomics-, quantitative genetics-, and artificial intelligence-based tools to link genotype to phenotype in maize and sorghum. I’ve worked on optimizing GWAS for different genetic architectures, training computers to both tell the difference between stalks, leaves, and reproductive structures and count the leaves of corn, as well as the work on identifying genes that control differences in the pattern of phenotypic change over time which lead to this paper in Plant Physiology. After I graduate I want to continue working with both statistical and machine learning related approaches to connect genotype and phenotype.
姓名：苗晨勇
当前职位： 内布拉斯加州林肯大学施耐博实验室博士
教育经历： 2016至今， 内布拉斯加州林肯大学农业与园艺学院， 农学专业， 博士；2013-2016， 福建农林大学生命科学学院，生物信息专业，硕士；2009-2013， 河南科技大学农学院，生物技术专业，本科
非科学兴趣爱好：足球， 篮球， 徒步旅行， 钓鱼
个人简介：
我的科研工作始于2013年作为研究生进入福建农林大学，当时我与基因组和生物技术中心的唐海宝教授一起工作。在他的实验室中，我学会了python编程并编写代码来进行植物基因组数据分析。在硕士期间，我帮助编写了两个生物信息学软件并且参与组装和注释了菠萝基因组。完成硕士课程后，我于2016年以博士生身份加入内布拉斯加州林肯大学的施耐博实验室。在这个实验室中，我与工程，统计和计算机科学院的人们一起工作开发和应用基于表型组，群体遗传和机器学习的工具，用以连接植物的基因型与表型。我一直致力于针对不同的植物遗传结构优化全基因组水平的关联分析，训练计算机模型在图像中区分植物的茎，叶和生殖器官并估计玉米的叶片数目。这篇发表在植物生理学杂志的论文主要讨论了如何用运用统计方法来识别控制随着时间的推移而变化的动态表型的基因。毕业后，我想继续使用统计和机器学习相关方法来连接植物基因型和表型的研究。
