Jason H. Moore, Ph.D.
Dr. Moore is the scientific director and principle investigator of EBIC. His background and expertise is at the intersection of computer science, statistics, and the biological sciences with a focus on genetics and genomics. He leads the NIH-funded Computational Genetics Laboratory that develops innovative computational methods for solving complex problems across the biomedical sciences using artificial intelligence, machine learning, and visual analytics. He also serves as director of the Penn Institute for Biomedical Informatics.
Zhiping (Paul) Wang, Ph.D.
Dr. Wang is the technical director for EBIC. He has a Ph.D. in Computer Science from Indiana University and has more than 10 years of experience working in the development and application of bioinformatics methods and pipelines for the analysis of next-generation sequence data. Dr. Wang is available to meet with CEET investigators to discuss and manage environmental health science projects that need bioinformatics support.
Curt Calafut, B.S.
Mr. Calafut has more than 10 years of experience managing complex computer systems. He is available to assist with all aspects of systems administration for CEET investigators.
Tom Caldwell, B.S.
Mr. Cadlwell is trained in computer science with more than 20 years of experience developing relational databases for complex data. He is available to assist with all aspects of database development for CEET investigators.
Taehyong Kim, Ph.D.
taehyong at pennmedicine.upenn.edu 215-573-4793
Dr. Kim is the senior bioinformatician of BIC. He has a Ph.D. in Computer Science from State University of New York at Buffalo followed by postdoctoral training at Carnegie Institution at Stanford University. He has ample experience on various computational projects including reconstructing metabolic networks from next generation sequencing (NGS) data, identifying casual genes using network analysis and developing NGS analysis pipelines. He is mainly working with investigators from Abramson Cancer Center of Penn Medicine.
Jerome Lin, M.S.
jerlin at pennmedicine.upenn.edu
Mr. Lin was trained in the Department of Human Genetics, University of Pittsburgh, focusing on bioinformatics research. He has extensive experience in bioinformatics, machine learning, and protein research etc.
Xueqing (Maggie) Lu, Ph.D.
xueqing.lu at pennmedicine.upenn.edu
Maggie obtained her Ph.D. in Genetics, Genomics, and Bioinformatics from University of California, Riverside. Her previous work focused on understanding the gene expression and regulation system in malaria parasite using next-generation sequencing approaches, such as RNA-seq, GRO-seq, and ChIP-seq. In addition, she is familiar with various machine learning approaches including support vector machines (SVM), hidden markov model (HMM), and clustering analysis (k-mean) that are involved in proteomic and epigenomic associated studies. Maggie had also performed both wet lab experiment as well as dry lab analyses during her graduate training.