LIU LAB - Key Persons
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- Associate Computational Biologist )
Aashna received her masters in Computer and Information Sciences at the New York University. She is currently working on developing the Bioinformatics Pipelines for CIDC project with other members of the lab.
Aria Dandawate received her B.S. in Biotechnology and a minor in Computer Science from New York University's Tandon School of Engineering in the spring of 2020. Her past experiences include a combination of wet lab Immunological research and some work involving the analysis of multi-omic biological data. She is interested in continuing to explore her interests at the intersection of Computational methods and Immunology to help fight disease.
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- Associate Computational Biologist )
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- Assistant Professor, the University of New Mexico, Albuquerque, NM
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- Associate Professor, Children 's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
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- Scientist, Intellia Therapeutics, Cambridge
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- 2020 - 2022 ) Assistant Professor, UCSF
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- Senior Research Scientist
Cliff Meyer received his Ph.D. in Chemical Engineering from Princeton University in 2003. He is a computational biologist with expertise in algorithm development, genomic data integration, cancer gene regulation, epigenetics and nuclear receptor biology. His work includes methodological research projects, collaborative research with experimental biologists, and the broad dissemination of research findings through review articles and software. He has contributed to the development of several widely used algorithms for ChIP-chip, ChIP-seq, MNase-seq, DNase-seq, DNA methylation and CRISPR screen data analysis. Through integrating genome-wide transcription factor binding, chromatin dynamics, and gene expression profiles, he has studied the specificity and function of transcription factors, and chromatin regulators, and has experience in large-scale genomic data integration.
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- Senior Bioinformatics Scientist, Astra Zeneca
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- Research Fellow, University of Cologne, Dr. Argyris Papantonis Lab, Cologne, Germany
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- Medical Director at Foundation Medicine
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- Assistant Professor, Salk Institute, La Jolla, CA
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- Professor, Department of Medical Biophysics, University of Toronto, Toronto, Canada
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- Assistant Professor, UT MD Anderson Cancer Center, Houston, TX
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- Vice President, MOGAM Institute for Biomedical Research, South Korea
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- Professor, Bioinformatics and Computational Oncology Institute for AI in Medicine, University of Duisburg - Essen, Germany
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- Professor, Institute for Genomic Biology, University of Illinois at Urbana - Champaign, Champaign, IL
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- 2005 - 2008 ) Radiologist at Coastal Radiation Oncology, Ventura, CA
Len Taing received his B.A. and M.S. in Computer Science from Harvard and M.A. in Psychological and Brain Sciences from Johns Hopkins. He has been working with the Liu Lab and the Center for Functional Cancer Epigenetics for the last decade, and is instrumental to the development of many computational algorithms, pipelines, and databases.
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- Assistant Professor, Dartmouth, Geisel School of Medicine, Hanover, NH
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- Scientist, Foundation Medicine, San Diego, CA
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- Assistant Professor of Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY
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- Professor, College of Life and Health Sciences, Northeastern University, Shengyang, China
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- Chief Technology Officer at XBH Biotechnology, Shanghai, China
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- Assistant Professor at Children 's National Medical Center, Washington, DC
- Endowed Chair & Professor of Bioinformatics, Department of Biological Chemistry, School of Medicine, University of California, Irvine
Wei Li, PhD (2004-2007) Endowed Chair & Professor of Bioinformatics, Department of Biological Chemistry, School of Medicine, University of California, Irvine
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- Professor at the Department of Crop Genomics and Bioinformatics at Chinese Agricultural University, Beijing, China
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- Investigator and Professor of Cardiology, Shanghai Jiao Tong University, Affiliated Sixth People Hospital, Shanghai, China
Yang Liu received her Ph.D. in Bioinformatics from University of Missouri-Columbia in 2019. Yang's research focused on deep learning method developent for genome-wide association study and biomarker detection. Her work is currently focused on developing the Cancer Immunologic Data Commons (CIDC). Her interests fall in machine learning, multi-omics data integration, immunology and translational cancer genomics.
Yi Zhang received her Ph.D. in Bioengineering from University of Illinois at Urbana-Champaign in 2019. With expertise in statistical learning and human genetics, she focused on computational method development to understand cancer-associated genetic variants. She is currently a postdoctoral research fellow in Dr. Shirley Liu's lab at Dana-Farber Cancer Institute and Harvard University. Her research interests fall in the intersection of computational biology, machine learning and cancer genomics.
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- Professor, Department of Bioinformatics, Tongji University, Shanghai, China