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Xiaosong Wang, M.D., Ph.D.

Associate Professor of Pathology and Biomedical Informatics

University of Pittsburgh Cancer Institute

Hillman Cancer Center G.5a

5117 Centre Avenue

Pittsburgh, PA 15213

Phone: 412-623-1587

Email: wangx13@pitt.edu

Department Profile: Pathology; DBMI

Xian Wang, Ph.D.

Research Associate

Email: xiw109@pitt.edu

Ph.D. 05/2012 North Carolina State University, Raleigh, NC.

Dr. Xian Wang received his Ph.D. in The North Carolina State University, Raleigh, NC, USA. His doctoral project was to comprehensively study roles of G1/S cell cycle regulators in ras-mediated skin tumorigenesis. In Wang lab, he is now researching new targeted agents in breast cancer using preclinical xenograft mouse models. His current work involves multiple disciplines including data mining, target locating, in vitro and in vivo validation, and preclinical /translational studies. Dr. Xian Wang is currently funded by the prestigious fellowship award from the Susan G. Komen Foundation.

Yiheng Hu, M.D., Ph.D.

Postdoctoral Associate

M.D.: 06/2008. Nanjing Medical University, Nanjing, China.
Ph.D., 05/2014. The Ohio State University, Columbus, OH

Email: huy2@upmc.edu

My graduate research was focused on genomic instability of breast cancer, in particular, DNA double-strand break repair mechanisms involved in breast cancer formation. My work has made non-canonical and important discoveries which give novel insights into the current models of double-strand break repair mechanisms. My current postdoctoral training is focused on identification of potential therapeutic targets in breast cancer revealed by bioinformatics approaches. My studies involve breast cancer biology, translational research and preclinical therapeutic development. I expect to obtain multidisciplinary training in data mining, target locating, in vitro and in vivo validation, and preclinical or translational applications, in order to become an independent investigator in translational breast cancer research.

Xu Chi, Ph. D.

Postdoctoral Associate

E-mail:   xuc13@pitt.edu

Ph.D., the Institute of Botany, Chinese Academy of Sciences, Beijing.

Next-Gen Sequencing (NGS) has been proven to be a powerful tool for catelog the transcriptomic and genomic information in human cancers. However, the sequencing errors come with the data seem to be biased yet elusive to predict, mainly due to the complexity of factors involved in the formation of the sequencing errors. My previous research was focused on formulating the sequencing errors’ pattern and distinguishing between the true rare mutations and the sequencing errors from deeply pooled DNA samples. My current research will focus on the integrative bioinformatics analysis of multidimensional genomic data to discover pathological genetic aberrations, therapeutic targets, and predictive biomarkers in cancer.


Chia Chia Liu

Postdoctoral Associate

Email: CHL269@pitt.edu

I received my Ph.D. from National Taiwan University where I studied the mechanisms underlying tumor metastasis with specific focus on the function of cancer-associated genes in hepatocellular carcinoma (HCC) progression. My postdoctoral research focus is to investigate how the fusion proteins function in breast cancer, and targeting of these fusion proteins in preclinical therapeutic trials.


Matthew Wexler

Ph.D. Graduate Student

E-mail:   MAW266@pitt.edu

Matthew is a Ph.D. graduate student in the Cellular and Molecular Pathology program. He is broadly interested in the development of novel therapeutics for cancer treatment. In the Wang lab, he is using a bioinformatics approach to identify novel targets for treatment in breast cancer, with an emphasis on recurrent genetic aberrations. He is also working to validate these targets, elucidate the mechanisms by which they affect cancer progression, and design clinically-relevant therapies to target them.

Tianmeng Chen

Ph.D. Graduate Student

E-mail:   TIC37@pitt.edu

I am a Ph.D. student in IBGP program at University of Pittsburgh School of Medicine. My research interest is cancer genomics. Since luminal B tumors of breast cancers are more aggressive, more resistant to endocrine therapy, and have poorer prognosis, I am interested in using bioinformatics method to identify the potential genetic biomarker for luminal B tumors and then using experimental approaches for validation.


Sanghoon Lee

Ph.D. Graduate Student

Email: SAL170@pitt.edu

I am a Ph.D. graduate student in the department of Biomedical Informatics. My research background is Molecular Biology, Bioinformatics and Cancer Genomics. I have researched meta-analysis for transcriptional subtyping using microarray data and next-generation sequencing (NGS) data analysis. Currently, I am researching about discovering genetic aberrations in epithelial tumors by employing integrative genomics analyses to multi-dimensional genomic data, such as NGS data and genomic hybridization data. I am interested in integrating biological-genomic data produced on lab benches with patient clinical data to facilitate Translational Informatics and provide more accurate diagnosis and prognosis.


We have multiple positions open for postdoc associate, research associate, graduate studients, and rotation students. If you are interested in joining our lab, please submit your CV and cover letter to: wangx13@pitt.edu.

Our lab at Baylor College of Medicine (2010.8-2016.1)

Photos from our lab at BCM. Upper panel, from left to right: Xixi Cao, M.D. Ph.D., Ying Tan, Ph.D., Xian Wang, Ph.D.. Lower panel, from left to right: Jin-Ah Kim, Ph.D., Jamunarani Veeraraghavan Ph.D., Meenakshi Anurag, Ph.D.

Wang Laboratory @ University of Pittsburgh Cancer Institute.