Dr. Johnson received his BS and PhD from Texas A&M University; in between he received his MS from Clemson University. His postdoc was at University of Louisville, resulting in an appointment as associate director of bioinformatics for the Center for Genetics and Molecular Medicine at University of Louisville. From there he founded the statistics and bioinformatics division at Ambion/Asuragen Inc. Following his time at Asuragen, Dr. Johnson founded BioMath Solutions LLC, a bioinformatics focused start-up, developing software for genomic technology companies. Currently he is Executive Director of the Center of Bioinformatics and Genomic System Engineering at Texas A&M University and is Director of Genomics and Bioinformatics at Texas A&M AgriLife
Professor Hsueh-Fen Juan received her BS and MS degrees in Botany and PhD in Biochemical Sciences from National Taiwan University (NTU) in 1999. She worked as a Research Scientist in the Japan International Research Center for Agricultural Sciences (Tsukuba, Japan) in 2000-2001 and as a Postdoctoral Research fellow in the Institute of Biological Chemistry, Academia Sinica (Taipei, Taiwan) in 2001-2002. She started her academic career in the Department of Chemical Engineering at NTU as an Assistant Professor, and in the Department of Computer Science and Information Engineering at NTU as an Adjunct Assistant Professor in 2002. She became Assistant Professor in the Department of Life Science and the Institute of Molecular and Cellular Biology at NTU. She became Associate Professor in 2006 and Full Professor in 2009 in the Department of Life Science, Institute of Molecular and Cellular Biology and Graduate Institute of Biomedical Electronics and Bioinformatics at NTU. Dr. Juan received several awards including Taiwan's Ten Outstanding Young Persons (2008), FY2011 JSPS Invitation Fellowship Program for Research in Japan (2011), K. T. Li Breakthrough Award by Institute of Information and Computing Machinery (2012), National Science Council (NSC) Award for Special Talents of the Colleges (2010-2015), NTU Academic Performance Reward (2015, 2016) and 2015 USA Emerging Information and Technology Association (EITA) Service Award.
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
Professor of Chemistry at University of Waterloo. Leader of the Computational and Theoretical Biological Physics & Chemistry Group. Affiliate of the Perimeter Institute for Theoretical Physics at Waterloo.
Selected Awards: Ontario Early Reseachers Award, NSERC Discovery Accelerator, EU DEISA Extreme Computing, Distinguished Research Professor, Academy of Finland Fellowship
I'm a Departmental Fellow in Systems Biology at Harvard Medical School and the Berkman Klein Center for Internet & Society. My scientific interests are at the interface between artificial intelligence and biology.
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and translational bioinformatics. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Hossein is an Assistant Professor of Pathology in the Division of Medical Informatics at Rutgers Cancer Institute of New Jersey. His group develops novel analytical methods to understand the underlying genetics of human diseases and the molecular epidemiology of disease-causing organisms using high-throughput genomic data. The group is especially interested in studying tumor clonal evolution, and identifying prognostic markers in cancer, particularly in hematological malignancies. Hossein received his Ph.D. in Physics from Brown University, where he studied galaxy clusters and dark matter structures, using weak gravitational lensing. Prior to joining Rutgers, he was a member of the faculty in the Department Biomedical Informatics at Columbia University.
Associate Professor, Computational Biology Department, School of Computer Science, Carnegie Mellon University, and Co-Associate Director, Joint CMU-Pitt Ph.D. Program in Computational Biology. Recipient of the Moore Investigators in Data-Driven Discovery award.
Researcher focusing on computational genomics with current interests in genetics, genomics and trancriptomics specially fungi, insects and vertebrates. Current research interests as following
1. Research Area #1: Application of genomics to human diseases
2. Research Area #2: Genomics of drug-like molecules from fungi
3. Research Area #3: Evolutionary Genomics
4. Research Area #4: Biodiversity Genomics
Lukasz Kurgan received M.Sc. degree (with honors) from the AGH University of Science and Technology in Poland in 1999 and Ph.D. degree from the University of Colorado at Boulder, U.S.A. in 2003. He was recognized with the Gold Medal of Stanislaw Staszic and the Outstanding Graduate Student Award for his M.Sc. studies.
His research interests include development and application of bioinformatics methods with focus on the analysis of sequences, structures and functions of proteins and RNAs. Dr. Kurgan is also interested in the analysis of complex clinical data (mixture of genomic, proteomic, and electronic medical records) to develop diagnostic and prognostic systems.
Dr. Kurgan joined the Department of Computer Science at the Virginia Commonwealth University in Richmond in September 2015 as the Qimonda Endowed Professor. Before that he was a Professor with the Department of Electrical and Computer Engineering at the University of Alberta in Edmonton. He heads the (un)Structural Bioinformatics laboratory. Dr. Kurgan is the Structural Bioinformatics area Editor of the BMC Bioinformatics and Associate Editor of Current Protein and Peptide Science, Intrinsically Disordered Proteins, PeerJ, PLOS ONE, Neurocomputing, Protein and Peptide Letters, and Journal of Biomedical Science and Engineering, and serves(ed) on program committees of numerous conferences and workshops in bioinformatics.
Dr. Kyrpides is the Head of the Prokaryotic Super Program and the Microbiome Data Science Group at the DOE Joint Genome Institute. Prior to joining the JGI, Dr. Kyrpides led the development of the genome analysis and Bioinformatics core at Integrated Genomics Inc. in Chicago, IL. He did his postdoctoral studies with Carl Woese at the University of Illinois at Urbana-Champaign and with Ross Overbeek at the Argonne National Laboratory. He received the van Niel International Prize for Studies in Bacterial Systematics (2011-2014); Elected Fellow: AAM
1997: PhD Cancer Research Centre of the Russian Academy of Medical Sciences, Moscow.
1997-2001: Postdoc at the University of Regensburg
2001-2007: Junior group leader/PI and lecturer, University of Heidelberg.
2007- 2010:Senior group leader/PI and senior lecturer, University of Heidelberg
2010-2013: Professor, head of the Lab for Cellular and Molecular Biology of Innate Immunity;
2013-permanent: Professor, head of Department for Innate Immunity and Tolerance, University of Heidelberg.