Advisory Board and Editors Data Science
Carsten Baldauf
I have studied Biochemistry at Universität Leipzig. In my Diploma thesis I started to use computer simulations (quantum chemistry) to study structure formation in non-natural peptides. I continued along these lines in my PhD studies, also in Leipzig. During a PostDoc stay at BIOTEC of TU Dresden, I started using empirical models (a.k.a. force fields) and dedicated myself to the development of structure search techniques with a focus on molecular docking. My next stop then was in Shanghai. With a Lynen Postdoc fellowship by Humboldt Foundation, I had the chance to investigate regulatory mechanisms and function of the blood protein von Willebrand factor, a key molecule in primary hemostasis. Since 2010, I am a scientist at Fritz Haber Institute (FHI) of the Max Planck Society, since 2013 I am a a group leader. Our work here deals with biomolecules in thin air (i.e. theoretical gas-phase spectroscopy of peptides and carbohydrates), large-scale overview studies on amino acid-cation structures, and organic reactions. Recently, I got interested in data science, data infrastructures and ontologies. I am teaching at Freie Universtität Berlin and was a visiting professor at Universität Leipzig replacing the Chair for Theoretical Chemistry. Since January 2020 I am Representative of the Board at Fritz Haber Institute of the Max Planck Society.
Siddhartha Bhattacharyya
Dr. Siddhartha Bhattacharyya is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 60 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been a member of the organizing and technical program committees of several national and international conferences.
His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.
Rüdiger Bieler
Curator (research professor) in the Integrative Research Center, Field Museum of Natural History, Chicago and Member of the Committee on Evolutionary Biology, University of Chicago
Research interests include evolutionary systematics, biogeography, comparative morphology, and taxonomy, with special focus on marine Mollusca, especially Gastropoda and Bivalvia. As a “museum person,” he is particularly interested in the development and application of organismal, collections-based research, ranging from extensive new field surveys and large-scale specimen and data management issues, to the integration of morphological, paleontological, and molecular data to address biological research questions. He recently served as lead PI of the Bivalve Assembling-the-Tree-of-Life (BivAToL.org) effort and is involved in coral reef restoration projects and associated invertebrate surveys in the Florida Keys. Past offices include service as president of the American Malacological Society and of the International Society of Malacology (Unitas), and he currently a member of the steering committee of WoRMS (marinespecies.org) and a chief editor in the MolluscaBase.org effort.
Alexander Bolshoy
Dr. Bolshoy has completed his PhD from the Weizmann Institute of Science in 1993. He is the author of the book "Genome Clustering: from linguistics models to classification of genetic texts", Springer-Verlag, 2010, and many scientific articles. He is serving as an editorial member of several reputed journals like Bioinformatics and Biology Insights, Computational Biology and Chemistry, ISRN Bioinformatics; and Linguistic Frontiers.
Tossapon Boongoen
Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.
Christine L Borgman
Christine L. Borgman, Professor & Presidential Chair in Information Studies at UCLA, is the author Big Data, Little Data, No Data ( 2015), Scholarship in the Digital Age (2007) and From Gutenberg to the Global Information Infrastructure (2000), and about 200 other publications in information studies, computer science, and communication. She is a Fellow of the ACM and of AAAS; and a member of the Board of Directors of the Electronic Privacy Information Center.
C. Titus Brown
Titus Brown received his BA in Math from Reed College in 1997, and his PhD in Developmental Biology at Caltech in 2006. He has worked in digital evolution, climate measurements, molecular and evolutionary developmental biology, and both regulatory genomics and transcriptomics. His current focus is on using novel computer science data structures and algorithms to explore big sequencing data sets from metagenomics and transcriptomics.
Licia Capra
Licia is a Reader (Associate Professor) in the Dept of Computer Science at University College London. She conducts research in the area of ubiquitous computing. Specific topics include: crowd-sourcing and crowd-sensing, urban computing, location-based services, recommender systems, data mining for development. The aim of her research is to provide developers with abstractions and algorithm to ease application development, and end users with better experiences when interacting with technology.
Reed A Cartwright
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.
Tianfeng Chai
Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.
Jyotismita Chaki
Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.
Davide Chicco
Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.