Advisory Board and Editors Computational Biology
Michael Hallett
I am primarily interested in computational biology and bioinformatic approaches to biomarkers based on multi-variate, multi-modal gene signatures, especially in the context of cancer.
Jin-Kao Hao
Distinguished Professor of Computer Science, Université d'Angers (France); Senior Fellow of the French "Institut Universitaire de France", Working on computational methods for large scale and complex combinatorial optimization problems.
Martin Hartmann
Senior Researcher at ETH Zurich with strong interests in microbial ecology, molecular biology, bioinformatics and statistics.
Catherine F Higham
Dr. Catherine Higham works at the interface between mathematics, deep learning and experimental science. Her first degree was in mathematics and her PhD involved mathematical modelling and statistical inference applied to somatic genetic mutations arising in myotonic dystrophy and Huntington's disease. Subsequent areas of research include Bayesian inference in nonlinear ODEs and the circadian clock. Currently, she is developing and applying deep learning techniques to inverse problems arising in novel quantum imaging technologies such as the single pixel camera and lidar. She also has an interest in quantum machine learning and framing problems for quantum annealing.
Noriko F Hiroi
Noriko Hiroi is Assistant Professor of the Department of Biosciences and Informatics, Keio University. She started to develop her career in Molecular Biology and Biochemistry, and currently works in Systems Biology and Quantitative Biology area. Her research interest includes in vivo oriented modelling, molecular mechanisms of higher-functions of central nerve systems, microfluidics technology and optical technologies and informatics for bioimaging.
Harry Hochheiser
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.
Christian Hoffmann
Assistant Professor of Microbiome and Nutrition, at the Dept of Food Sciences and Experimental Nutrition, at the University of São Paulo, Brazil, and a Research Fellow at the Laboratory of Applied Immunology, at the University of Brasilia. His experience is focused on the molecular ecology of microbial systems, especially host-associated microbial ecosystems. For the last 10 years, he has centered his research questions on the human gut microbiome, using both human studies as well as animal models. Key aspects of this research include the influence of the gut microbiome on health and disease, the modulation of the gut microbiome through diet and the immune system, especially through the use of unavailable carbohydrates.
Adina Howe
Adina Howe is an Assistant Professor in the Department of Agricultural and Biosystems Engineering Department at Iowa State University. Her research group, GERMS (Genomics and Environmental Research in Microbial Systems), focuses on integrating traditional microbiology approaches with metagenomics and computational biology as investigative tools to understand environmental microbial populations.
Ming Hu
Dr. Hu is currently an Assistant Staff in the Department of Quantitative Health Sciences, Lerner Research Institute at Cleveland Clinic. He is also an Assistant Professor (non-tenure track) in the Department of Medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, an Associate Member of Molecular Oncology Program at Case Comprehensive Cancer Center, and a joint faculty member of Institute for Computational Biology at Case Western Reserve University School of Medicine. Dr. Hu received his B.S. degree in Statistics from University of Science and Technology of China in 2006 and Ph.D. degree in Biostatistics from University of Michigan in 2010. He was a postdoctoral fellow in Dr. Jun S. Liu’s group in Department of Statistics at Harvard University from 2010 to 2013. He jointed the Department of Population Health, Division of Biostatistics at New York University School of Medicine in 2013. In 2016, he moved to his current position in Cleveland Clinic. Dr. Hu has more than 10 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on genome-wide mapping and analysis of chromosome spatial organization. Dr. Hu has published more than 60 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology.
Zunnan Huang
Professor in Chemistry; Director, Key Laboratory of Big Data Mining and Precision Drug Design; Director, Key Laboratory of Computer-Aided Drug Design of Dongguan City; Vice Dean, Graduate School of Guangdong Medical University; PhD in Computational Chemistry and Physical Chemistry obtained from the University of Oklahoma; Guest Editor, Current Pharmaceutical Design, Current Medicinal Chemistry, Frontiers in Chemistry, Molecules; Reviewer for more than 50 SCI journals including Journal of the American Chemical Society, Science Advances, Nature Communications and Briefings in Bioinformatics. Authors of more than 117 SCI papers with an accumulated IF of 600.
Simon J Hubbard
I am a Professor in the Faculty of Biology, Medicine and Health at the University of Manchester. My scientific career has taken me from a PhD in Biochemistry at UCL, London, via the European Molecular Biology Laboratory, back to Manchester in the UK where I undertook a Wellcome Trust fellowship, before gaining a Lectureship in 1998. My research covers themes in computational and systems biology and bioinformatics. We apply computational approaches to the study of biological systems and molecules, and my particular areas of interests are broadly in the areas of protein and genome bioinformatics including quantitative proteomics, regulation of gene expression (and particularly translation from mRNA to protein), and general bioinformatics.
John R Hutchinson
Professor of Evolutionary Biomechanics at The Royal Veterinary College, University of London. Assoc Editor of Proc Roy Soc B, J Theor Biol. Royal Society Leverhulme Trust Senior Fellow 2012-2013. Fellow of the Linnean Society of London, Anatomical Society, Zoological Society of London and Royal Society of Biology. RCVS Share Jones Lecture in Anatomy (2011) and British Science Festival, Charles Darwin Award Lecture (2012). Honorary Research Associate, University College London. Fellow of the Year, Anatomical Society (2015).