ChemPerturb

DB

Welcome to Shuibing Chen Laboratory!

The major research interest in the Chen Laboratory is to apply human pluripotent stem cell (hPSC)-derived cells/organoids to model human diseases and perform drug screens toward development of novel therapeutics. We have identified many small molecules controlling stem cell fate decision using high throughput/content chemical screens. By combining gene targeting, directed differentiation, human organoids, and humanized mouse models, we have established several unique models to systematically explore the role of genetic and/or environmental factors in disease progression. We establish proof-of-principle that “disease in a dish” models that can be adapted to high throughput/content screening platforms and to discover drug candidates for precision therapy.

Note:

If you have any questions about this website, please don’t hesitate to contact anyone of the members below!

J. Jeya Vandana, B.Sc.

Graduate Student

Jeya is a PhD student in the Tri-Institutional Program in Chemical Biology (TPCB). She completed her B.Sc. in Chemistry and Biological Chemistry at the Nanyang Technological University, Singapore where she worked on the structure solution of DNA G-quadruplexes. As part of the Chen lab, she works on developing genetic strategies to promote beta cell maturation of human embryonic stem cells as well as on high throughout chemical screening to identify compounds that promote beta cell maturation.

Dongliang Leng, PhD.

Postdoc

Dr. Dongliang Leng earned his PhD degree from University of Macau under the mentorship of Dr. Qi Zhao and Dr. Xiaohua Douglas Zhang. During his PhD period, he focused on long ncRNAs identification and gene co-expression network construction, which involved in disease initiation and progress, using innovative bioinformatics approaches. In addition, he is also dedicated to construct the disease signatures for diagnosis and prognosis. Notably, he identified a prognostic ceRNA network in sarcoma which contributes to the infiltration of immune cells and shaping of tumor microenvironment. After graduated, he joined Dr. Shuibing Chen’s lab at Weill Cornell Medicine to expand his research interest on pluripotent stem cell derived ovary-organoid modeling for anti-aging through identifying the super-TF regulating network for specific populations’ differentiation and development in ovary. He is also contributing to the bioinformatics analysis for the projects in the lab across multi single cell sequencing platforms, including 10X single cell transcriptome, multi-omics, spatial sequencing, Pacbio long-reads single cell sequencing and so on.

Tiancheng Jiao

Undergraduate Student

Tiancheng Jiao is an undergraduate student at University of Michigan, majoring in Computer Engineering. He is also purchasing a dual degree in Shanghai Jiao Tong University, majoring in Electrical and Computer Engineering. He is currently working as a research assistant in the Liu Lab. His research interests include machine learning, reinforcement learning, and large language models.

Ricky Han, B.S.

Graduate Student (Bioinformatics)

Ricky earned his bachelor's degree in Applied Mathematics at The Chinese University of Hong Kong, Shenzhen, then gained valuable experience as a research assistant at both the Tsinghua-Berkeley Shenzhen Institute and the Shenzhen Research Institute of Big Data. Currently, he is advancing his studies as a PhD student in Bioinformatics at the University of Michigan, Ann Arbor, under the mentorship of Dr. Jie Liu and Dr. Rajesh Rao. His main research interests involve employing artificial intelligence tools like reinforcement learning, deep learning, and representation learning, to spearhead novel discoveries in Biological Sciences.

Yuanhao Huang

Graduate Student

Yuanhao is a PhD student in the Department of Computational Medicine & Bioinformatics (DCMB) in University of Michigan. His research focuses on integrating biomedical knowledge using knowledge graphs and applying biomedical knowledge graphs to large language models.