96
reads

Chien-Cheng Tseng
2010-05-10  16:00 - 17:20
Room 505, Freshman Classroom Building

Professor Tseng starts his career as a faculty member at Department of Biostatistics and Department of Human Genetics, University of Pittsburgh in 2003. His research mainly focus on data mining of high-throughput genomic and proteomic data and methods for biomarker detection including supervised (classification) and unsupervised (clustering) machine learning and detection of differentially expressed genes. Currently his research focuses on information integration of multiple genomic studies and improving robustness and portability of prediction models for translational research. In this talk, he will first described how he is transformed from a math major student (NTU math and 1993 recipient of Silver medal prize in International Mathematical Olympiad) to develop statistical learning methodology to resolve issues from genomics and bioinformatics. He will then address career path in Biostatistics and Bioinfirmatics which includes Academia, Industry, and Government. He will also use his trained PhDs who now work on those three sectors as an illustration. (If you would like to know his information more, you can look into his webpage at http://www.biostat.pitt.edu/bioinfo/index.htm)