AMSI BioInfoSummer 2018 brings together prominent speakers from a variety of disciplines to share current research and developments in bioinformatics. AMSI and The University of Western Australia are pleased to announce that the following speakers will feature at the 2018 event (subject to change):
Stephanie Hicks is an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She is also a faculty member of the Johns Hopkins Data Science Lab and co-founder of R-Ladies Baltimore. Her research interests focus around developing statistical methods, tools and software for the analysis of genomics data. Specifically, her research addresses statistical challenges in epigenomics, functional genomics and single-cell genomics such as the pre-processing, normalization, analysis of noisy high-throughput data (microarray and next-generation sequencing) leading to an improved quantification and understanding of biological variability. This work led to a K99/R00 award from the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). She actively contributes software packages to the Bioconductor project and is involved in teaching courses for data science and the analysis of genomics data. Most recently, she became involved in one of the 85 one-year projects to develop Collaborative Computational Tools partnering between the Chan Zuckerberg Initiative (CZI) and the Human Cell Atlas (HCA). With other Bioconductor developers, she will create the infrastructure and tools needed to analyze potentially billions of single cells in the HCA within Bioconductor. For more information, please see http://www.stephaniehicks.com/.
Simon van Heeringen completed his PhD in 2012 at the Radboud University, the Netherlands, where he worked on computational analysis of transcription regulation. During his post-doc he worked with Gert Jan Veenstra to decipher the sequence determinants of binding by the Polycomb Repressive Complex 2 (PRC2), which is recruited to DNA and represses genes by long-term silencing through trimethylation of lysine 27 of histone H3 (H3K27me3). Using machine learning in combination with evolutionary approaches Simon uncovered PRC2-associated sequence patterns conserved between vertebrates. In a recent collaborative follow-up to this work he found that MTF2 is required for DNA-driven PRC2 recruitment to chromatin. In 2013 Simon started as a group leader in the Molecular Developmental Biology department at the Radboud University. Through his research he aims to understand the complex cis-regulatory grammar that underlies cell fate choice by application of computational tools to high-throughput genomic measurements. This includes analysis and integration of transcriptomic and epigenomic data, regulatory motif analysis, machine learning and predictive modeling. In addition, he develops computational methods and tools for genomic annotation and regulatory network inference, which are necessary to gain insight into the regulatory rules underlying development and differentiation.
Dr. Zhiping Weng is Professor in Biochemistry and Molecular Pharmacology and Li Weibo Chair in Biomedical Research at University of Massachusetts Medical School. In her institutional role as Director of Program in Bioinformatics and Integrative Biology, Dr. Weng leads all aspects of research and education in the Program. She received her B.S. in Electrical Engineering from University of Science and Technology of China in 1992 and Ph.D. in Biomedical Engineering from Boston University in 1997.
Dr. Weng’s scientific research and biomedical investigations focus on genomics, epigenomics, transcriptomics, and molecular recognition. Her laboratory develops and applies cutting-edge computational and statistical methods to study biological problems with large amounts of data, e.g., gene regulation by transcriptional and post-transcriptional mechanisms and protein-protein interaction. She has developed a systematic approach to define regulatory elements in the human and mouse genomes based on a select set of predictive epigenetic signals and annotate the activities of these elements across hundreds of cell and tissue types.
Dr. Weng is a national and international leader in large-scale epigenomic sciences. She has led the Data Analysis Center of the ENCODE Consortium since 2012 and co-led the Data Analysis Center of the psychENCODE Consortium since 2015. The goals of these two consortia are to investigate the regulatory landscapes in the human genome, with ENCODE focusing on normal physiology and psychENCODE on psychiatric disorders. Dr. Weng exemplifies the next generation of computational genomicists who leverage the power of computing on big data to understanding the mysteries of the human genome.
Jason is Assistant Director – External Collaborations of Cold Spring Harbor Laboratory’s DNA Learning Center, and is the Education, Outreach, and Training lead for CyVerse (A U.S. national life science cyberinfrastructure project funded by NSF). Jason organizes, instructs, and speaks at a variety of bioinformatics-related workshops, conferences, and meetings annually. He also serves in an advisory capacity on a variety of bioinformatics and open science projects including his service as Chair of the International Science Advisory Board for EMBL-Australian Bioinformatics Resource. He also serves on the External Panel of Consultants to the National Institutes of Health (NIH) Data Commons Initiative and the NIH’s National Heart Lung and Blood Institute’s Data STAGE (Storage, Toolspace, Access and analytics for biG data Empowerment). He is an active Software and Data Carpentry instructor, and a former Chair of the Software Carpentry foundation. Jason also teaches at the Yeshiva University High School for Girls.