Wei Li: Principal Investigator
As a computational biologist with a background in computer science, Wei is always fascinated by the exciting opportunities in both areas of computation and biology. His past research has focused on developing analysis algorithms on functional genomics, especially for RNA-seq and CRISPR-Cas9 screens.
Wei received his postdoc training in Dr. X. Shirley Liu lab at Dana-Farber Cancer Institute and Harvard School of Public Health. He obtained his Ph.D. in computer science at University of California, Riverside (mentor: Dr. Tao Jiang), followed by his bachelor and master degrees of computer science and technology at Tsinghua University, Beijing, China.
Xiaolong Cheng is a postdoctoral research fellow at Children’s National Medical Center. He is interested in developing novel computational methods and software tools for understanding biological data.
Xiaolong obtained his Ph.D. degree at the Ocean University of China and majored in Intelligent Information and Communication Systems. In the Ph.D. study phase, his research was focused on signal processing and machine learning.
Bicna Song is a postdoctoral research fellow at Children’s National Medical Center. She is interested in the development of computational algorithms for analyzing large-scale sequencing data to identify predictive biomarker or drug target in cancer. Bicna obtained her Ph.D. degree of bioinformatics from the University of Science and Technology in South Korea. She focused on analyzing cancer genomics dataset for identifying and understanding the molecular drivers of differential response to targeted therapy.
Lumen Chao is a Postdoctoral Research Fellow at Children’s National Hospital. Her research interest focus on utilizing genome-wide CRISPR screen and single-cell RNA-seq technology to systematically identify critical genes and potential drug targets in brain tumors. Having been trained as an experimental biologist for years, she hopes to integrate both computational biology and experimental biology to comprehensively analyze the critical genes (oncogenes/suppressers) and regulatory networks in pediatric brain tumor.
Lumen received her first postdoc training at Michigan State University. She obtained her Ph.D. degree in Genetics at the Chinese Academy of Sciences, Shanghai, China and bachelor’s degree in biology at Nanjing University, Nanjing, China. She focused on uncovering key transcription factors and regulatory networks of temperature response and immunity in plants.
Kai Wang is a Postdoctoral Research Fellow at Children’s National Hospital. His research focus on learning, developing and utilizing genome-wide CRISPR screen and single-cell RNA-seq technology to identify critical genes and potential drug targets in human brain tumors. Kai received his first postdoc training in NIH. He obtained his Ph.D. in Chinese Academy of Sciences, Beijing, China, focusing on ion channels, electrophysiology and electrochemistry in neuroscience.
Daniel Zheng is a high school student studying at Polytechnic School Pasadena. He is interested in working with machine learning software to develop and understand structures surrounding genomics and data. Daniel has worked with machine learning techniques with Inspirit AI, developing and conceiving models that worked towards data analysis. He wants to pursue his studies in biotechnology, machine learning, and data analysis.
Rod Rahmjoo is a master’s student at the University of Maryland, College Park (UMCP). He is interested in deep neural networks and neural computation and their applications in many different areas including biology, security, and robotics. Rod has worked at a lab at UMCP where they worked on research in a virtual reality environment while completing his undergraduate degree. He received his bachelor’s of computer science from UMCP where he mainly specialized in machine learning.