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| About Hai Hu (Windber Research Institute) |
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Dr. Hai Hu is currently Deputy Chief Scientific Officer and Senior Director of Biomedical Informatics at the Windber Research Institute, leading the development of the biomedical informatics infrastructure for translational research, as well as heading several research projects. He is also an Invited Professor of the Shanghai Center for Bioinformation Technology. Dr. Hu has many years of direct experiences applying computational and statistical technologies to solving biological problems, including the development of data mining and data analysis tools, data tracking systems, and data warehouses. Before joining the Windber Research Institute, Dr. Hu was the Group Leader of Bioinformatics in AxCell Biosciences, and previously he was a scientist at Osiris Therapeutics. Dr. Hu holds a B.Sc. of Physics from Nanjing Normal University in China, an M.Sc. in Acoustics/Speech Signal Processing from the Institute of Acoustics of the Chinese Academy of Sciences, and a Ph.D. in Biophysics from the State University of New York at Buffalo. He received a postdoctoral training in Molecular and Cellular Cardiology at the Johns Hopkins University School of Medicine. Dr. Hu is often invited to speak at national and international scientific and business conferences, and sometimes functions as bioinformatics program chair or session chair. He is a reviewer for a number of scientific journals including Bioinformatics and Proteomics. He has published more than 30 peer-reviewed papers and book chapters, plus more than 60 conference papers, and edited two books including one entitled “Biomedical Informatics in Translational Research”.
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Biomedical Informatics in Translational Research
Hai Hu (Windber Research Institute)
Translational research today involves a potentially vast amount of clinical, genomic, and proteomic data. Biomedical informatics plays a critical role in almost all aspects of translational research, including data collection and generation, data tracking, data centralization, and data analysis and data mining. In this presentation I will focus on these four perspectives to introduce how a biomedical informatics infrastructure is developed and applied to several translational research projects.
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