Prof. Terry Gaarsterland (University of California San Diego, USA)

Topic : Studying Stem Cell Systems through Multiple 'Omics Data

Schedule : October 31, Tuesday, 16:00 – 17:00

Dr. Gaasterland leads a research program aimed to develop and apply methods to identify genes and the impact of their genetic and evolutionary variation on regulation of transcription and on protein domain structure and function. Dr. Gaasterland has extensive experience with microbial genome sequencing and annotation, use of RNA-seq data to identify genes in assembled genomes from novel organisms, software tools to detect horizontally transferred genes in microbes, the management and analysis of large next-generation high-throughput sequencing datasets, and the sequencing and analysis of marine microbial, eukaryotic, and human genomes. Accomplishments in these areas as well as her early career work in deductive databases is reflected in over 100 refereed publications, of which most are indexed in PubMed. Dr. Gaasterland trained as a computer scientist with emphasis in databases, automated reasoning and reasoning with uncertain information. With a Department of Energy postdoctoral fellowship, she transitioned from pure computer science into the application of methods in databases and artificial intelligence to the interpretation and analysis of genomic sequence and gene expression data. Since receiving the Presidential Early Career Award in Science and Engineering (PECASE) in 2000, she has been continuously funded by the National Science Foundation to develop and use methods in computational genomics, and has participated as PI or co-PI on a series of biomedical grants from the NIH. She is PI of NIH/NEI awards to sequence and analyze variation in protein coding exons genome-wide for 400 primary open angle glaucoma cases, as a member of the NEIGHBOR Consortium at the Massachusetts Eye and Ear Institute and the NHGRI Medical Sequencing program.

Prof. Jin-Soo Kim (Institute for Basic Science, Korea)

Topic : Genome-wide Target Specificities of CRISPR Nucleases and Deaminases

Schedule : November 1, Wednesday, 11:00 – 12:00

Jin-Soo Kim is an entrepreneur and chemist-turned-biologist. He graduated from Seoul National University in 1987 with a major in chemistry. He then earned a master’s degree in chemistry from Seoul National University in 1989 and a Ph.D. in biochemistry from the University of Wisconsin-Madison in 1994. After postdoctoral training at Howard Hughes Medical Institute/Massachusetts Institute of Technology, he came back to Seoul in 1997 to serve as Principal Investigator at Samsung Biomedical Research Institute. He co-founded a biotechnology company, ToolGen, Inc., focused on zinc finger technology in 1999, and served as CEO and CSO for the subsequent 6 years. He joined the faculty of the Department of Chemistry at Seoul National University in 2005. He now serves as Director of Center for Genome Engineering at Institute for Basic Science. He has published over 60 articles and filed 20 patent applications, mostly in the field of gene regulation and genome editing. He has been a member of Faculty of 1000 since May, 2013.

Throughout his independent scientific career, Jin-Soo Kim has been developing tools for genome editing, a method now used widely in biomedical research, biotechnology, and medicine. Genome editing enables genetic studies in model organisms and cell lines and gene correction in stem and somatic cells for the treatment of both genetic and acquired diseases. Furthermore, genome editing can be used to create value-added crops, livestock, fish, poultry, and pets. The broad interest in this rapidly evolving and expanding technology among researchers is highlighted by the choice of genome editing as the Method of the Year 2011 by Nature Methods and as the Breakthrough of the Year runner-up by Science in 2013. Genome editing in cultured cells, animals, and plants is catalyzed by programmable nucleases that cleave chromosomal DNA in a targeted manner. The Kim group has developed and improved three different types of programmable nucleases, namely, zinc finger nucleases (ZFNs), TAL effector nucleases (TALENs), and RNA-guided engineered nucleases (RGENs) derived from CRISPR/Cas, an adaptive immune system in prokaryotes. These tools are now used for genome editing in human stem cells, model organisms, livestock, and plants in thousands of labs all around the world.

The Kim group now focuses on target identification and validation for drug discovery using genome-scale collections of TALENs and RGENs and on gene correction in human pluripotent stem cells for the treatment of genetic disorders. He also collaborates with animal scientists to develop genome-engineered pigs appropriate for organ transplantation and with plant scientists to create value-added crops.

Prof. Sean Mooney (University of Washington, USA)

Topic : Research on Big Data is Bringing Big Opportunities In Personalized Medicine
     and Population Health

Schedule : November 1, Wednesday, 16:00 – 17:00

Sean D. Mooney is a chief research information officer(CRIO) of UW Medicine and professor in Department of Biomedical Informatics and Medical Education, University of Washington. Professor Mooney has spent his career as a researcher and group leader in biomedical informatics. He now leads research IT for UW Medicine and is leading efforts to support and building clinical informatic platforms as it’s first Chief Research Information Officer (CRIO) and as a professor in the Department of Biomedical Informatics and Medical Education at the University of Washington. Previous to his CRIO role, he was an Associate Professor and Director of Bioinformatics at the Buck Institute for Research on Aging. As an Assistant Professor, he was appointed in Medical and Molecular Genetics at Indiana University School of Medicine and was founder and director of the Indiana University School of Medicine Bioinformatics Core. In 1997, he received his B.S. with Distinction in Biochemistry and Molecular Biology from the University of Wisconsin at Madison. Then receiving a Ph.D. in 2001 at the University of California in San Francisco, and then an American Cancer Society John Peter Hoffman Fellowship at Stanford University.

Prof. Jiangeng Feng (Fudan University, China)

Topic : Multi-level Data in Brain Science and Applications in Brain Diseases

Schedule : November 2, Thursday, 11:00 – 12:00

Jianfeng Feng is a thousand-talent program professor, the chair professor of Shanghai National Centre for Mathematical Sciences, and the Dean of Brain-inspired AI Institute in Fudan University. He has been developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health researches. Recently, his research interests are mainly in big data analysis and mining for neuroscience and brain diseases. He was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist ‘being of great achievements or potentials’. He has made considerable contributions on modelling single neurons and neuronal networks, machine learning, and causality analysis with publications on Molecular Psychiatry, Brain, PNAS, PRL, J Neuroscience etc. He has proposed and developed BWAS method (Brain-wide association study), and successfully applied it to search the roots in depression, schizophrenia and autism; developed functional entropy method and applied it to the study of ageing, IQ and creativity etc.

Prof. Shyam Prabhakar (National Univ. of Singapore, Singapore)

Topic : Single-Cell Transcriptomics: Algorithms and Applications

Schedule : November 2, Thursday, 16:00 – 17:00

Shyam Prabhakar obtained a B.Tech in Electronics and Communications Engineering from the Indian Institute of Technology, Madras and a PhD in Applied Physics from Stanford University. He was sole recipient of the American Physical Society thesis award for Beam Physics in 2001. Following a postdoctoral fellowship under Eddy Rubin at the Lawrence Berkeley National Laboratory, he started his own research group at the Genome Institute of Singapore (GIS). The Prabhakar lab uses single-cell RNA-seq, cohort-scale ChIP-seq and other high-throughput assays, together with algorithm development, to uncover markers and molecular mechanisms of human diseases. Major achievements include the first single-cell transcriptomic analysis of colorectal cancer, the first large-scale screen for disease-causing genetic variants that affect histone acetylation, the first histone acetylome-wide association study of a psychiatric disorder and the first unified signal-processing method for peak detection in NGS data. Dr. Prabhakar is currently Associate Director, Integrative Genomics and Senior Group Leader, Computational and Systems Biology.

Prof. Sun Kim (Seoul National University, Korea)

Topic : Analysis of Omics Data: Network, Literature, and Artificial Intelligence

Schedule : November 3, Friday, 11:00 – 12:00

Sun Kim is Professor in the School of Computer Science and Engineering, Director of Bioinformatics Institute, and an affiliated faculty for the Interdisciplinary Program in Bioinformatics at Seoul National University. Before joining SNU, he was Chair of Faculty Division C; Director of Center for Bioinformatics Research, an Associate Professor in School of Informatics and Computing at Indiana University (IU) Bloomington. Sun Kim is a recipient of Outstanding Junior Faculty Award at Indiana University 2004, US NSF CAREER Award DBI-0237901 from 2003 to 2008, and Achievement Award at DuPont Central Research in 2000. He is actively contributing to the bioinformatics community, serving on the editorial board for journals including editors for the METHODS journal and International Journal of Data Mining and Bioinformatics, having served on the board of directors for ACM SIG Bioinformatics and for education for the IEEE Computer Society Technical Committee on Bioinformatics. He has been co-organizing many scientific meetings including ACM BCB 2011 as a program co-chair, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2008 as a program co-chair and 2009 as a conference co-chair. In Korea, he is currently President of Korea Artificial Intelligence Society and Vice President of Korea Society of Bioinformatics and Systems Biology.