LAB MEMBERS

Guangyu Wang

Principle Investigator

Assistant Professor Cardiovascular Sciences, Academic Institute
Assistant Member, Research Institute

Houston Methodist
Weill Cornell Medical College

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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.

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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.

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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.

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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.

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Tu (Alex) N Tran

Research Assistant

Alex graduated from the University of Massachusetts Lowell with a bachelor of Science in Mathematics. Alex manages Wang lab's GitHub, pipelines, and data on servers.

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Weiqing Chen

Ph.D. student at the Department of Physiology, Biophysics & Systems Biology, Cornell University. She is studying single-cell sequencing data integration, visualization, and sharing.

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