Advisory Board and Editors Computational Biology

Mario Negrello

Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).

Qing Nie

Qing Nie is a Professor of Mathematics and Biomedical Engineering at University of California, Irvine. Dr. Nie's primary research areas include systems biology, stem cells, developmental biology, regulatory networks, stochastic dynamics, and computational mathematics.

Kay Nieselt

1992 Doctor of Mathematics from the University of Bielefeld, Germany
1995-1996 Alexander von Humboldt Fellow at the University of Auckland, New Zealand
PostDoc in the group of Peter Gruss, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
Since 2002 Group Leader for Bioinformatics at the Center for Bioinformatics, University of Tübingen, Germany

Jason Noble

I am a member of the Agents, Interaction and Complexity group, part of the Faculty of Physical and Applied Sciences at the University of Southampton, UK. I have a long-standing interest in using agent-based models to look at the evolution of social behaviour; I'm particularly interested in communication and social learning.

Charles Ofria

Professor of Computer Science at Michigan State University; Director of the Digital Evolution Laboratory and Deputy Director of the BEACON Center for the Study of Evolution in Action.

Andrea Omicini

I am Full Professor at the Alma Mater Studiorum, the University of Bologna. As a researcher, I am working on coordination, agents, software engineering, intelligent systems, simulation, and self-organisation. As a professor, I am teaching distributed systems and autonomous systems.

Emanuele Paci

Associate Professor in Computational Biophysics at University of Leeds. From 2001 to 2004, Oberassistent at the Department of Biochemistry, University of Zurich.

Anna Panchenko

National Center for Biotechnology Information, National Institutes of Health. Editor, Journal of Molecular Biology; Associate Editor, BMC Evolutionary Biology. Associate Lecturer, Johns Hopkins University

Vijay Pande

Prof. Pande received a BA in Physics from Princeton University in 1992 and PhD in physics from MIT in 1995. Prof. Pande’s current research centers on the development and application of novel grid computing simulation techniques to address problems in chemical biology. In particular, he has pioneered novel distributed computing methodology to break fundamental barriers in the simulation of kinetics and thermodynamics of proteins and nucleic acids.

Elena Papaleo

I am leading the newborn group of Computational Biology at the Danish Cancer Society Research Center (DCRC, Copenhagen, Denmark) and I am visiting researcher at the University of Milano-Bicocca (Milan, Italy). My group focuses on several projects from structural biology, biomolecular simulations and modelling to network analyses and analyses of -omics data and cancer databases. We work in tight collaborations with experimentalists in either cellular/molecular biology, biophysics and biochemistry area. A tight integration of experiments in our simulations or for validation of our prediction is an important component of our projects. I am focusing on different biological topics from extremophilic enzymes, intrinsically disordered proteins, neurodegenerative/cancer diseases, ubiquitination, post-translational modifications, chaperones, transcription factors, metal-binding proteins, DNA damage/repair and autophagy. I have a Ph.D. degree in industrial biotechnology—Biostructure Curriculum (2006, Milano-Bicocca University, Milan, Italy). I worked as Postdoctoral Researcher (2006–2011) and Contract Professor (2010–2012) in Computational Biology at Milano-Bicocca University. I have been also Visiting Researcher at different international research institutes (Tromso University, Norway; IBB, Barcelona, and CNIO, Madrid, Spain). I have been Senior PostDoctoral Researcher at the Structural Biology and NMR group at the University of Copenhagen, Denmark from March 2012 to July 2015.

Annalisa Pastore

Worked in the groups of R.R.Ernst at ETH and I.D.Campbell at University of Oxford. Established the first NMR group at EMBL Heidelberg in 1992. Worked at the Medical Research Council NIMR in London, since 1997. EMBO fellow. At King's College London since 2013. She is EMBo and Academia Europaea member

Yonghong Peng

Dr Peng is a Prof of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr Peng's Data Science and BioMedical informatics (DS&BMI) research group focuses on development of integrative data mining approaches to enable systematical analysis of biological data and healthcare data and gain new knowledge from the integration of diverse data sources.