LAB MEMBERS

Guangyu Wang

Principle Investigator
Assistant Professor Cardiovascular Sciences, Academic Institute
Assistant Member, Research Institute
Houston Methodist
Weill Cornell Medical College

Dr. Wang’s research focuses on integrating multi-omics such as scRNA-seq, spatial transcriptomics, and epigenetics to investigate the dynamics of cellular states, cell-cell communication, and the regulation mechanism in development and disease conditions, using cutting-edge computational techniques including deep learning, machine learning, and Bayesian inference.

Pengzhi Zhang

Research Associate
Pengzhi received a Ph.D. degree in Physics at the University of Houston. Pengzhi has a solid background in physics and worked as a research scientist for three years at the University of Houston. After joining Wang lab, he investigates the dynamic of cellular states and cell-cell communication.

Shengyu Li

Postdoc Fellow
Shengyu graduated from the University of South Alabama with a Ph.D. in Computer Science, with a four-year research and development experience in machine learning, natural language processing, and bioinformatics. After joining Wang lab, she focuses on developing AI models for profiling dynamic cell state transitions based on RNA velocity.

Ibrahem Hamdy Kandel

Postdoc Fellow
Ibrahem graduated from the New University of Lisbon with a Ph.D. in Information Management. He specialized in Machine Learning and Deep Learning with a strong focus on computer vision during his Ph.D. training. After joining the Wang lab, he focuses on developing novel algorithms for spatial transcriptome data.

Tu (Alex) N Tran

Research Assistant
Alex is a bioinformatics Research Assistant with a strong background in mathematics and finance. He holds a Bachelor of Science in Mathematics with minor in Finance from the University of Massachusetts Lowell, where he achieved Dean's List honors. Alex has practical experience in data analysis and visualization, utilizing tools such as Python and R. Alex mainly responsible for managing Wang lab's GitHub, pipelines, and data on servers. He also has some small contribution to collaborate project by conducting data analysis and visualization tasks, ensuring accurate and reliable results. With a meticulous and detail-oriented approach, Alex leverages his skills in problem-solving and critical thinking to deliver valuable insights in the field of bioinformatics.

Weiqing Chen

Weiqing is a first-year Ph.D. student at Weill Cornell Medicine. She is interested in problems at the intersection of machine learning/deep learning and single-cell dynamics/spatial biology, particularly in RNA velocity and computational pathology.

Previously, Weiqing was a master’s student at Graduate School of Biostudies (SGU Program), Kyoto University, where she worked on Active Inference, advised by Naoki Honada. Before joining KU, she obtained her bachelor’s degree in computer science from Nanjing University of Posts and Telecommunications.