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).
Stephen J Newhouse
Data Science Lead (yak shaver) and Senior Bioinformatician at The Department of Biostatistics and Health Informatics: SLAM NHS NIHR Biomedical Research Centre for Mental Health, Kings College London.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
Duc D Nguyen
Dr. Duc Nguyen is an Assistant Professor in the Department of Mathematics at the University of Kentucky. His research interests lie at the interface of data science, mathematical biology, and scientific computing. He has developed several popular online servers for drug design communities such as FRI, RI-Score, DG-GL, and AGL-Score. By integrating mathematics and deep learning, Dr. Nguyen won the most number of contests in the past three D3R Grand Challenges, an annual worldwide competition series in computer-aided drug design. That success has stimulated his partnerships with Bristol-Myers Squibb for developing quantitative systems pharmacological models and with Pfizer for drug de novo hit identification.
Hoang Nguyen
Dr. Hoang Nguyen is a Lecturer (Computational biologist, data scientist, and computer scientist) within the School of Innovation, Design, and Technology at the Wellington Institute of Technology in New Zealand.
His research interests include Applied Data Science, Machine Learning, Deep Learning, Computer-aided Drug Design, Bioinformatics, and Health informatics.
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.
Zemin Ning
Zemin Ning is a Senior Scientific Manager and heads the group of "High Performance Algorithm" at the Wellcome Sanger Institute, UK. Trained in Engineering/Physics, he has been active in genome informatics, specializing in sequence alignment and genome assembly. After completing a PhD degree at Aston University and postdoc training at the Cavendish Laboratory, Cambridge University, he joined in the Sanger Institute in 1999 to pursue bioinformatics research. Over the past years, he and his colleagues in the group have developed a number of bioinformatics tools, which are widely appreciated by the genomics community. The group has also produced over 30 de novo assemblies from large animal and plant genomes, including Gorilla, Zebrafish, Tasmanian Devil, Panda and Bamboo.
Rodrigo Nunes-da-Fonseca
Associate Professor at the Center for Ecology and Socio-Environmental Development of Macaé, (NUPEM), Federal University of Rio de Janeiro (UFRJ-Macaé). Affiliate Member of the Brazilian Academy of Sciences (2017-2021). Scientist of Our State at FAPERJ (2019-nowadays), PhD (2008) and Postdoctoral studies (2009) in Functional Genomics and Evolutionary Developmental Biology (Evo-Devo) at the University of Cologne, Germany.
Published more than 85 articles in specialized journals with more than 3500 citations (Google Scholar-Fator H = 24). He serves as a reviewer for several international journals (NAR, Cell Reports, Dev. Gen Evol, Dev. Biol, FEBS J, Plos One, Gene, among others) particularly in the evolutionary genetics of arthropod development.
Andrea Omicini
I am Full Professor at the Alma Mater Studiorum, the University of Bologna. As a researcher, I am currently working on multi-agent systems, intelligent systems engineering, computational logic, explainable AI, agreement technologies. As a professor, I am currently teaching distributed systems, multi-agent systems, and intelligent systems engineering.
Krishna Dev Oruganty
I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.
Emanuele Paci
Professor at University of Bologna. From 2004 to 2021 Associate Professor in Computational Biophysics at University of Leeds. From 2001 to 2004, Oberassistent at the Department of Biochemistry, University of Zurich.
Vera Pancaldi
I was trained as a physicist at Imperial College London and soon found my way in systems and computational biology. Since 2018 I lead a computational biology team at the Cancer Research Center of Toulouse (CRCT) working on modelling cancer and its interactions with the immune system.
I have worked on various projects on stress response in fission yeast and prediction of protein interactions (in the group of Jurg Bahler at Sanger Institute/University College London), epigenomics and hybrid vigour in plants (with David Baulcombe at Cambridge University) and integrative epigenomics in cancer (with Alfonso Valencia at CNIO, Madrid and Barcelona Supercomputing Center). My main current focus is understanding the relationship between genome architecture and heterogeneity at various levels and relating heterogeneity of tumour infiltrating immune cells to patient's prognoses in different cancers. I also co-founded Cambridge Networks Network in 2011, an online forum for scientists interested in networks in Cambridge in beyond.