Advisory Board and Editors Data Science
Hemant Rathore
Hemant Rathore received his B.E. and M.E. in computer science from RGTU, India, and BITS Pilani, India, in 2010 and 2013, respectively. He is currently associated to Department of Computer Science and Information Systems at BITS Pilani, India; and has strong academic and industry research experience in the field of security, and currently works in the domain of adversarial learning and explainability in malware detection models based on machine learning and deep learning.
Hemant has published many research papers in various reputed SCI journals and CORE-ranked (A*, A, and B) conferences. He also won the prestigious K Shankar Meritorious Paper Award 2021 in the journal category. Hemant was selected to present his work in the 11 IDRBT Doctoral Colloquium 2021, and he received multiple travel and registration grants from a number of reputed conferences such as NDSS, IEEE INFOCOM, IEEE PerCom, IEEE S & P, IACR Eurocrypt, etc. Hemant has also been invited to various venues (e.g. BDA, TENCON, etc.) for invited tutorials, talks, and seminars.
His teaching credentials include taught courses in the areas of Network Security, Advanced Data Mining, and Data Mining to undergraduate and postgraduate students; in addition to guiding and supervising numerous students in short-term projects.
Hemant is a member of the IEEE and ACM.
Anne Reinarz
Dr. Anne Reinarz is an Assistant Professor at Durham University in the Scientific Computing Group. Her research is at the interface of three main areas: Application science (mechanical engineering, astrophysics and seismology), numerical methods development (fast solvers, high performance computing) and uncertainty quantification.
Dirk Riehle
Prof. Dr. Dirk Riehle, M.B.A., is the Professor of Open Source Software at the Friedrich-Alexander University of Erlangen-Nürnberg. Before joining academia, Riehle led the Open Source Research Group at SAP Labs, LLC, in Palo Alto, California (Silicon Valley). Riehle founded the OpenSym conference series. Prof. Riehle holds a Ph.D. in computer science from ETH Zürich and an M.B.A. from Stanford Graduate School of Business.
Leslie Ries
Leslie Ries is an ecologist who focuses on patterns at both medium and large scales. She has worked both in the fields of landscape ecology and biogeography with her focus mainly on butterflies. Over the last 10 years, she has shifted from a field approach to using large databases, mostly originating from citizen science monitoring networks.
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.
Gary Rosenberg
Pilsbry Chair of Malacology, Academy of Natural Sciences of Philadelphia and Professor, Department of Biodiversity, Earth and Environmental Science, Drexel University. Commissioner, International Commission on Zoological Nomenclature. Editor for Mollusca, World Register of Marine Species and MolluscaBase.
His research focuses on the origins and magnitude of diversity of the Mollusca, with active research currently in the Philippines (marine and terrestrial mollusks) and Jamaica (land snails). He uses biodiversity databases to better document the known diversity of mollusks and to estimate their total diversity.
Rob Russell
Co-director of Bioquant and Professor of Protein Evolution at Heidelberg University. Previously Group Leader at EMBL, Heidelberg, Academic Editor at FEBS Letters at PLoS Computational Biology.
Rossano Schifanella
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Alexander Schliep
Alexander Schliep received a PhD degree in computer science from the Center for Applied Computer Science (ZAIK/ZPR) at the Universität zu Köln, Germany (2001), working in collaboration with the Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory. From 2002-2009 he was the group leader of the Bioinformatics Algorithms Group in the Department for Computational Molecular Biology at the Max Planck Institute for Molecular Genetics in Berlin. From 2009–2016 he held a joint position as associate professor in the Department of Computer Science and the BioMaPS Institute for Quantitative Biology. From August 2016–February 2025 he held a faculty position (part-time since Oct 2022) at the University of Gothenburg in the Department of Computer Science and Engineering, which is a joint department of Chalmers and the University of Gothenburg. Since October 2022 he is the chair for medical bioinformatics at the Faculty of Health Sciences Brandenburg. His group is located at the Brandenburg Technical University Cottbus-Senftenberg.
He serves as an associate editor for BMC Bioinformatics and as an editor of PeerJ.
Richard Schuster
I am the Director of Spatial Planning and Innovation at the Nature Conservancy of Canada and an Adjunct Research Professor at Carleton University, studying the ecological impacts of human activities and develop novel techniques to prioritize conservation areas and strategies. I have a theoretical and applied background in quantitative ecology and statistics and spatial big data analysis. I develop novel analytical tools for researchers and other practitioners to explore and use in conservation planning and management.
Bart Selman
Bart Selman is a Professor of Computer Science at Cornell University. His research interests include computational sustainability, efficient inference, planning, KR&R, and connections between CS and statistical physics. He has (co-)authored over 150 publications, including six best paper awards. He has received the Cornell Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career, and an Alfred P. Sloan Fellowship. He is a Fellow of AAAI, AAAS, and ACM.
Tavpritesh Sethi
Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).
Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.