We are building our team!
The W-R Zhang Lab is currently recruiting motivated students and postdocs interested in spatial multi-omics, machine learning, AI and cancer biology. Join us in developing cutting-edge tools and enabling discoveries at the intersection of computation and biology.
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Dr. Zhang earned her M.S and Ph.D. in Electrical Engineering from Stanford University. For her doctoral studies, she worked with Dr. David Dill at Stanford Computer Science, developing machine learning (ML) algorithms for metabolomics data analysis. Dr. Zhang later worked with Dr. Sylvia Plevritis at Stanford School of Medicine, with research focus of implementing ML/AI approaches to analyze multi-modality data to study tumor progression, creating widely-used tools such as CELESTA for spatial omics, which has been incorporated into a commercial platform of NanoString Inc. Her work has advanced spatial omics and cancer biology, with publications in Nature Methods, Cell, Science Immunology etc.
Outside the lab, she enjoys piano, reading, oil painting, and watching soccer.
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Assistant Professor
Purdue University
Biological Sciences and Computer Science
Weiruo Zhang, PhD
Graduate students​
Graduate students in the Departments of Biological Sciences and Computer Science and the PULSe program are welcome to contact Dr. Zhang about joining the lab. Please visit our Research page for information on current projects. Prior experience in computational biology and programming skills are helpful but not required. Curiosity, motivation, and a passion for learning and discovery are most important for the journey of getting advanced degrees.
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Undergraduate students​
Undergraduate students eager to explore research at the intersection of biology, computation and medicine are encouraged to contact Dr. Zhang. Our lab offers opportunities to gain hands-on experience, develop new skills and contribute to cutting-edge projects that advance our understanding of diseases. We welcome curiosity, creativity, and a willingness to learn.
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Postdoctoral scholars​
Qualified candidates should hold a PhD in Computer Science, Bioengineering, Bioinformatics, Data Science or in a related field. Strong quantitative background in machine learning is required. Experience in analyzing spatial omics or single-cell datasets is desired. Candidates should demonstrate a strong record of publication. Please email a complete curriculum vitae (CV), cover letter and contact information of three references to Dr. Zhang.
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