Wang, Dennis - University of Sheffield - Department of Neuroscience

个人简介

2016 – Present: Lecturer in Bioinformatics and Genomic Medicine 2014 – 2016: Senior Scientist, AstraZeneca 2012 – 2014: Scientific Associate, Princess Margaret Cancer Centre, Toronto, Canada I graduated from the University of British Columbia (Vancouver, Canada) with a BSc in Computer Science, Microbiology and Immunology. I then moved to the University of Cambridge for an MPhil in Computational Biology working on signalling pathways with Prof Jasmin Fisher (Microsoft Research), and a PhD in Biostatistics working on epigenetics with Prof Lorenz Wernisch (MRC Biostatistics Unit). Following the completion of my PhD in 2012, I undertook postdoctoral training to investigate genetic prognostic markers at the Princess Margaret Cancer Centre in Toronto with Prof Ming-Sound Tsao and Prof Frances Shepherd. I was promoted to a staff scientist in 2013 tocoordinate the genomic sequencing and bioinformatics analysis of patient tumors. With a greater interest in drug development, I went back to Cambridge in 2014 to join the early drug discovery division of AstraZeneca where I developed computational methods to identify pharmacological biomarkers that predict drug response. I joined the University of Sheffield in 2016 as lecturer to further establish genomics and bioinformatics as cornerstones within the education and translational research programmes here.

研究领域

Translational bioinformatics is an emerging field that is transforming healthcare by bringing genomics and informatics closer to patients. Our research focuses on translating the complex patterns of genomic data generated in the lab to enable the development of personalized medicines that can benefit patients suffering from complex diseases. On the computational side, this involves integrating genomics information of various data types in order to build algorithms that predict clinical outcome and identifying genetic biomarkers through feature selection. On the biological side, it is important to survey the genomic landscape of disease subtypes, as well preclinical models, to better understand how we can stratify patients for different treatments. Both of these aims enables us to work towards the ultimate goal of developing data driven approaches for personalized medicine.

近期论文

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Dennis Wang, Nhu-An Pham, Shingo Sakashita, Ghassan Allo, Lucia Kim, Naoki Yanagawa, Chang-Qi Zhu, Ming Li, Ethan Kaufman, Nadeem Moghal, Geoffrey Liu, Melania Pintilie, Igor Jurisica, John D. McPherson, Frances Shepherd, Ming S. Tsao. "Integrative and comparative genomic analysis of patient-derived xenografts in non-small cell lung cancer". Journal of Pathology. In press. Suzanne I. S. Mosely, John Prime, Jens-Oliver Koopman, Dennis Wang, Danielle Greenawalt, Miika J. Ahdesmaki, Rebecca Leyland, Stefanie Mullins, Luciano Pacelli, Danielle Marcus, Judith Anderton, Amanda Watkins, Jane Coates Ulrichsen, Zach Brohawn, Brandon Higgs, Athula Herath, Robert Kozarski, James A. Harper, Viia Valge-Archer, Ross Stewart, Simon Dovedi, Michelle Morrow, Richard C. A. Sainson, Robert Wilkinson "Characterisation of murine syngeneic tumour models enables rational preclinical model selection for immuno-oncology drug discovery". Cancer Immunology Research. In press. Di Veroli, G.Y., Fornari, C., Wang, D., Richards, F.M., Jodrell, D.I. "Combenefit: An interactive platform for the analysis and visualisation of drug combinations". Bioinformatics. April 2016. (2016). doi:10.1093/bioinformatics/btw230 Stewart, E.L., Mascaux, C., Pham, N.-A., Sakashita, S., Sykes, J., Kim, L., Yanagawa, N., Allo, G., Ishizawa, K., Wang, D., Zhu, C.-Q., Li, M., Ng, C., Liu, N., Pintilie, M., Martin, P., John, T., Jurisica, I., Leighl, N.B., Neel, B.G., Waddell, T.K., Shepherd, F.A., Liu, G., Tsao, M.-S., 2015. Clinical Utility of Patient-Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma. Journal of Clinical Oncology. 2014.60.1492. doi:10.1200/JCO.2014.60.1492