Advisory Board and Editors Computational Biology
Hsueh-Fen Juan
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.
Goo Jun
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.
Bishoy Kamel
I am currently a scientist at the Joint Genome Institute at Lawrence Berkeley National Laboratory. Working on a diversity of topics, including evolution, genomics, metabolic modeling, host-parasite interactions, and biosurveillance.
Gökhan Karakülah
Dr. Gökhan Karakülah currently works at Dokuz Eylül University, Izmir International Biomedicine and Genome Institute in Turkey as an associate professor. He obtained BSc (2005) from Ege University, and MSc (2009) and PhD (2014) degrees from Dokuz Eylül University, Health Sciences Institute in Turkey. Between October 2014 and April 2016, he joined Dr. Anand Swaroop’s research group as a postdoctoral researcher at National Eye Institute, NIH, US. The main focus of his current research has been to develop tools and algorithms for the better analysis and integration of diverse “omics” data sets generated with next generation sequencing technologies.
Mikko Karttunen
Canada Research Chair (Tier 1) in Computational Materials and Biomaterials Research and Professor of Chemistry & Applied Mathematics at the University of Western Ontario. 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
Lydia E Kavraki
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 biomedciine. 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.
Clement Kent
Dr. Clement Kent is a an Adjunct Professor at York University, Toronto, Canada. He has prior background math and computing; but since 2005 his research interests have focused on behavioral genetics and genomics, for both fruit flies and social insects, primarily honeybees, as well as conservation of pollinators.
Faizal Khan
Dr. Z. Faizal khan is currently working as an assistant professor at the Department of Computer Science in the College of Computing and Information Technology (CCIT), Shaqra University, the Kingdom of Saudi Arabia. His research interests includes Artificial Intelligence, Intelligent based Systems, Image Processing and pattern Recognition.
Hossein Khiabanian
Hossein is an Associate 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.
Elizabeth G King
Assistant Professor of Biological Sciences, University of Missouri. The goal of our research is to explain the diversity of life history strategies among organisms. We primarily, though not exclusively, use insect model systems for our research.
Rahul Kumar
Dr. Rahul Kumar is an Assistant Professor at the Indian Institute of Technology Hyderabad. He is a computational biologist working in the field of computational cancer genomics.
Julia Kzhyshkowska
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.