Advisory Board and Editors Computational Biology

Christian L. Althaus

Research group leader at the Institute of Social and Preventive Medicine (ISPM) at the University of Bern (Switzerland). Christian Althaus' research is focused on modeling the dynamics of infectious diseases within and between hosts. He is a co-founder of the Swiss Meeting for Infectious Disease Dynamics (SMIDDY).

Ilkay Altintas

Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.

Vivek Anantharaman

Computational biology Staff Scientist, Aravind Group, at the Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health (Bethesda, Maryland). Research interest includes studying protein structure, function and sequence, evolution of domains and biological systems to glean information about the biology of organisms.

Maria Anisimova

Since 2014, senior research fellow and lecturer at the Institute of Applied Simulations of the Zurich University of Applied Sciences (ZHAW). Editor of BMC Evol Biol and PLoS ONE. In 2012 edited a book in 2 volumes "Evolutionary Genomics: Statistical and computational methods".

Jaume Bacardit

Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.

Ugo Bastolla

I got my PhD in Physics at Rome University, working with Luca Peliti and Giorgio Parisi on biologically inspired problems: evolutionary models and Boolean networks. Since then, I have always been interested in computational biology: Protein folding, Stability and population biology constraints in protein evolution, Conformation changes in proteins, Structural evolution of proteins, Theoretical ecology, Ecological interactions among microorganisms.

Anaïs Baudot

I'm a Systems Biologist with a background in Biology, Genetics and Bioinformatics. I hold a PhD from the Aix-Marseille University. After a Post-Doc in the CNIO (Madrid, Spain), I got a CNRS Researcher position in 2010. I'm working since then in the Marseille Institute of Mathematics (CNRS-AMU). I'm interested in -omics studies (interactomes), Networks (partitioning, boolean modelling), and questions related to human diseases, in particular complex diseases, cancers and comorbidities.

Gerrit T.S. Beemster

Professor of Biology at the University of Antwerp. Member of the Flemish Science Foundation review board. Editor of the journals Journal of Plant Research, Frontiers in Plant Science and PLOS ONE

Peter Beerli

Professor in Scientific Computing; Training as an evolutionary biologist working with water frogs in the Mediterranean Sea; Distributor of the Bayesian population genetics inference program MIGRATE. Interested in computational biology, in particular in computational population genetics and phylogenetics

Anne Bergeron

Member of the "Laboratoire de combinatoire et d'informatique mathématique" (LaCIM) of Université du Québec à Montréal, that initially explored the interplay between combinatorics and computer science. In the mid 90s, it began to include computational biology in the mix.

Joanne Berghout

Dr. Berghout received her PhD in Biochemistry from McGill University in Montreal, QC where she researched the genetics of complex traits and susceptibility to infectious disease in humans and mouse models. Following that, she spent three years as the Outreach Coordinator for the Mouse Genome Informatics (MGI) database in Bar Harbor, ME. There, she trained researchers in genetics, genomics, data structures and data mining to answer biological questions, and worked closely with other members of the MGI group to develop and optimize the MGI resource. Now her research interests include genetics of all kinds, personalized medicine, big data, and scientific communication. She is currently pursuing projects in precision medicine for analysis of transcriptome data from patients with rare lung diseases (Sarcoidosis, Coccidiomycosis), and integrative network analysis of complex traits including Alzheimer's Disease. She is currently appointed at the University of Arizona's Center for Biomedical Informatics and Biostatistics (CB2) and The Center for Genetics and Genomic Medicine (TCG2M) in Tucson, AZ.

Glen M Borchert

Dr. Glen Borchert holds joint appointments as an Assistant Professor in Biology and Pharmacology at the University of South Alabama. He originally received a B.S. in Biology from the University of Tennessee then completed a Ph.D. in Genetics from the University of Iowa. Dr. Borchert’s research focuses largely on identifying novel genetic regulators and defining their roles in oncogenesis, microbiology and speciation. Since starting his laboratory at South Alabama in August 2012, Dr. Borchert has published dozens of papers in peer reviewed journals and had numerous grant applications funded including a highly prestigious NSF CAREER award (2014-2019).