Advisory Board and Editors Medical Genetics

Journal Factsheet
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Katherine Mitsouras

Katherine received her Bachelor's degree in Biochemistry and Molecular Biology from Brown University and her PhD in Biological Chemistry from the Geffen School of Medicine at UCLA. She subsequently trained in microarray technology development at Dr Stan Nelson's lab in the Department of Human Genetics at UCLA and collaborated with Agilent Technologies to develop microarrays to detect tissue-specific alternative splicing events in humans. Since 2007 she has been an Assistant, then Associate Professor of Biochemistry at Western University of Health Sciences.

Jose M. Moran

Jose M. Moran, Ph. D., is currently Assistant Professor in the Nursing Department in the University of Extremadura, Spain. He completed his Ph. D. in Biochemistry and Molecular Biology. Actually he is a member of the Metabolic Bone Diseases Research Group in the University of Extremadura. He is a reviewer and Academic Editor of several international journals. Actually he combines both the research in the field of Metabolic Bone Diseases and the research in Research Designs and Statistical Methods used in the research in Health Sciences.

Christopher J Mungall

I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.

Corey Nislow

Corey Nislow's laboratory develops and uses cutting edge tools to address this central question: how can we understand the biological commonalities in all of the life sciences; from embryonic development, to the spread of infectious diseases to better ways to treat cancer. Each of these disciplines can be explained in the context of competition, interaction and evolution. His lab studies the interface between genes and the environment using parallel genome-wide screens, high throughput cell-based assays and next generation sequencing. Most recently, he and his scientific partner, Dr. Guri Giaever, are exploring how laboratory experiments can co-opt evolutionary processes to understand drug action. He enjoys teaching all aspects of biotechnology, genomics and drug discovery. He got his PhD from the University of Colorado, worked at several Biotechnology companies and was at Stanford and University of Toronto before joining UBC in 2013. He has published 161 papers and run 19 marathons.

Houtan Noushmehr

Associate scientist and professor of epigenomics and bioinformatics at the department of neurosurgery and genetics.

Sonia MR Oliveira

Doctor Sonia Oliveira holds a Licenciatura in Biology (pre-Bologna) and a Master in Cellular and Molecular Biology from the University of Aveiro, where she also specialized in medicinal plants, toxicology, murine models, and spermatogenesis. In 2011 she moved to Australia to work in Reproductive Biological Sciences. She later explored the nerve-cancer connection in Cancer, namely in female cancers, and completed her Ph.D. in Human Physiology ( with a significant component in Medical Biochemistry and Neurophysiology) from the University of Newcastle (Australia) in 2018. She then worked with biomimetic systems and nanotechnology in diabetes and stem cells. She explored multiple methods for primary and secondary cell culture, always with a keen interest in histopathology, cell biology, and rare disorders. Participated in >40 event(s). (Co-)Supervised MSc dissertation(s) and final projects for course completion of LSc/BSc. And works mostly in the area(s) of Natural sciences with emphasis on Molecular and Cellular Biology, and Medical and Health Sciences with emphasis on Neurosciences, Cancer, Reproduction, Toxicology, Biotechnology, and Stem cells. Also has collaborations in Microbiology, Biomaterials, and Communication and Information technologies.

Kevin Petrie

I obtained my PhD from the Institute of Cancer Research in London spent a further 10 years there as a postdoctoral fellow and Staff Scientist. I am currently a Lecturer in Molecular Biology at the University of Stirling in Scotland. My principal research interest is translational oncology, with a focus on epigenetics.

Douglas Pires

Douglas Pires is a Senior Lecturer in Digital Health in the School of Computing and Information Systems at the University of Melbourne. Previously, he was a group leader and researcher in public health at Oswaldo Cruz Foundation/Brazil. He was also a postdoctoral researcher fellow at the University of Cambridge and University of Melbourne. He received a PhD in Bioinformatics from the Universidade Federal de Minas Gerais/Brazil and a BSc in Computer Science, both with highest honours, by the same university. His research interests include: Computational Biology, Translational Bioinformtaics and Machine Learning.

Danielle Posthuma

Fenna Diemer Lindenbaum Chair in Statistical Genetics; VU University & VU University Medical Centre, Amsterdam, The Netherlands; Executive Board Member Dutch IPSc Center; Director of Genetic Cluster Computer; Elected Member Young Academy of Netherlands Royal Society of Arts and Sciences.

Juan L Rodriguez-Flores

I am a Computational Biologist, Assistant Professor at Weill Medical College of Cornell University. I use -omic data to understand the mechanisms of disease risk.

I began my career as a Biology Undergraduate at MIT, where my first research project was to invent a method for attaching DNA to glass as part of the then-unfinished Human Genome Project. After MIT, I explored career options in Medical School Sillicon Valley and NIH, eventually earning a PhD in Bioinformatics and Systems Biology from UCSD. My doctoral dissertation involved characterizing the regulatory genetics of the adrenaline-synthesis gene PNMT, as well as more broadly studying the human adrenergic stress pathway. Seeking additional training in genomics and statistics, I spent a year working with Kelly Frazer at the Moores UCSD Cancer Center, followed by a move to Weill Cornell Medical College in 2010. As a postdoc, I developed a set of genomic analysis skills and tools that I applied to numerous projects, both locally and with international collaborators such as the 1000 Genomes Project, Weill Cornell Medical School in Qatar, and the University of Puerto Rico. In my current appointment as Assistant Professor, I am tasked with developing biotechnology tools for precision medicine.

Antonio Salas

I am a Professor at the University of Santiago de Compostela (Galicia, Spain). During the last few years I have been investigating in various fields of biomedical research, such as the analysis of genetic susceptibility to complex and common diseases (breast cancer, schizophrenia, autism, etc.), rare diseases (Wilson's disease, congenital ichthyosis, mitochondriopathies, etc.), bioinformatics / biostatistics (regarding HapMap, 1000 Genomes, statistical procedures in epidemiology and genetics, etc.), molecular / archeo-genetic anthropology, and forensic genetics (population sub-structure, interpretation (statistics) of the test Medical-legal research haplotype markers, etc).
I am the head of a consolidated research group, GenPoB (Population Genetics in Biomedicine), based at the Health Research Institute (IDIS) of Santiago de Compostela (Galicia, Spain), that is in turn integrated into the Genetics and Systems Biology group.
For more than a decade I have been heavily involved in a variety of projects related to genomics and other fields of -omic ’sciences (e.g. transcriptomic, epigenomic), in complex pediatric diseases, infectology and vaccinomics.

Yuan Shang

Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.