Advisory Board and Editors Bioinformatics
Steven Salzberg
Steven Salzberg is a Bloomberg Distinguished Professor of Biomedical Engineering, Computer Science, and Biostatistics at Johns Hopkins University, and the Director of the Center for Computational Biology. His research focuses on the development of novel computational methods for analysis of DNA from the latest sequencing technologies. His software has been downloaded >1,000,000 times and he writes a popular science blog at Forbes magazine. He's an elected Fellow of AAAS and ISCB.
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.
Joao C Setubal
João Setubal is full professor in the Biochemistry Department of the Institute of Chemistry at the University of São Paulo, Brazil. Setubal has a PhD in Computer Science (1992) from the University of Washington (USA). He was a faculty member at the University of Campinas (Unicamp, Brazil) (1992-2004), then Associate Professor at the Biocomplexity Institute of Virginia Tech, USA (formerly the Virginia Bioinformatics Institute) (2004-2011), where he still is an Adjunct Faculty. His research interests are in computational tools for genomics, metagenomics, and transcriptomics, and applications of such tools primarily in microbiology and microbial ecology.
Laurent Seuront
Dr. Laurent Seuront is a Research Professor at the
Centre National de la Recherche Scientifique (CNRS) in France.
His research is fundamentally based on a system approach that encompasses several phyla and taxa (from microbes to marine mammals) and a range of habitats (terrestrial, intertidal, coastal and open ocean) considered under various climatic regimes (from polar to tropical) to get a better understanding of the complexity of interactions that rule the structure and function of ecosystems. As such Dr. Seuront's research seeks universal structural and functional principles, and goes well beyond marine-related issues.
Syed Hassan Shah
Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.
Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.
Yuan Shang
Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
Huashan Shi
Professor Shi Huashan is an Associate Professor at Sichuan University. His expertise is in the molecular biology of tumours and tumour transcriptomics. He is currently engaged in clinical and basic translational research, including tumour microenvironment and novel immunotherapeutic modalities, and research on the mechanisms and medical applications related to tumour cell vaccines.
Joana C Silva
My group applies evolutionary genetics and genomic sciences to basic research on species evolution and translational research of infectious diseases. I have been studying infectious disease genomics since the early 2000's. At The Institute for Genomic Research (TIGR) I was part of the team that launched the field of parasite genomics, with work on several Plasmodium and trypanosomatid species, Theileria parva and Trichomonas vaginalis. At the Institute for Genome Sciences, University of Maryland School of Medicine, we have ongoing projects on a variety of parasites in the phylum Apicomplexa. These include the causative agents of malaria in humans (genus Plasmodium), tropical theileriosis and East Coast fever in cattle (genus Theileria), human babesiosis (genus Babesia), and human cryptosporidiosis (genus Cryptosporidium). Ongoing projects include the study of species biology and the nature of host-parasite interactions, based on the generation and analyses of genomes, and studies of vaccine efficacy and vaccine design, drug resistance and the evolution of parasite populations, informed by population genomics data. Our research is funded by NSF, NIH, USDA and the Bill and Melinda Gates Foundation.
Devraj Singh
I am an Biology Assistant Professor at University of Kentucky, Lexington, Kentucky. My current research interest involves investigating neural, genetic and epigenetic mechanism regulating latitudinal cline in critical photoperiodic response, daily clock under different life-history states, and circannual clock properties of geographically distinct dark-eyed junco populations in North America.
Himanshu Singh
Presently, I am working as a Senior Research Scientist at Memorial Sloan Kettering Cancer Center, New York, USA. My research interest includes “epigenetics and transcriptional regulation”. My research work is focused on exploring microenvironment of high-grade tumors arise in the overall course of the disease and in relation to treatment.
During 2021-22, I worked as Postdoctoral Research Scientist at Columbia University, New York, US. My work was to explore differences between regulatory networks involved in cancer and normal tissues using bioinformatics and computational biology. Earlier, I was working as Post-Doc at TAGC, INSERM, Aix Marseille University, Marseille, France during 2018-21. My research work was focused on the Identification of Epromoters, promoters showing enhancer activity, like clusters in various stress conditions. We have developed a pipeline to identify Epromoter like clusters. During 2016-18, I worked as Research Associate at CSIR-Institute of Genomics & Integrative Biology, New Delhi, India. My work was focused on the identification and validation of genetic and epigenetic biomarkers for high altitude phenotypes using bioinformatics approaches. I pursued my Ph.D. work at the Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India, and earned my Ph.D. degree from NIU, India in 2016.
In my tenure, I have published around FIFTY Articles. In addition to this, I was awarded an Independent Research Project from the Indian Council of Medical Research, India. I was also an Invited Researcher (two times) at the Department of Medical Chemistry, Medical University of Vienna, Vienna, Austria. I was also awarded various travel grants from Indian and overseas funding agencies to present my research work.
Kashmir Singh
Dr. Kashmir Singh is a Professor in the department of biotechnology, Panjab University, Chandigarh. With a focus on Plant biotechnology, his research interests span, metabolic engineering of secondary metabolites and biotic and abiotic stress tolerance in plants.
Early in his career, he received the Marie Curie Fellowship from European commission on biotechnology. Later, he received International Research Associateship at Missouri state University, USA. He was also a visiting scientist of McGill University, Montreal Canada, where he worked in the area of stress tolerance in cereal crops. Recently he was awarded INSA bilateral exchange fellowship to Poland. His major contribution in research work was understanding the molecular aspects of secondary metabolism in medicinal plants such as chlorophytum borivilianum, Phyllanthus emblica, Saussaurea lappa etc. He is also studying fungal resistance in grapes by identifying molecular markers, genes and non-coding RNAs associated with biotic stress tolerance.
He has guided 21 Ph.D. and 25 M.Sc. students and has over 90 publications. He is member of board of studies, research degree committees, reviewer of international journals and member of grant review committee of USA-Israel BARD grants. He has represented the Institute in international conferences and visited several countries including Poland, USA and Canada.
Reema Singh
A highly accomplished Computational Biologist and Bioinformatician with over 19 years of research expertise. My professional focus is on One Health bioinformatics, using pathogen transcriptomics and genomic surveillance to investigate and control infectious threats and antimicrobial resistance. My career has been marked by a strong track record of developing impactful tools and pipelines, including the Dlact antimicrobial resistance gene database and the Gen2Epi computational pipeline. Currently, as a Bioinformatician and Data Manager at the Vaccine and Infectious Disease Organization (VIDO), I apply my skills to analyze large-scale transcriptomics data and elucidate host-pathogen interactions in both human and animal populations