Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.
Dr. Jian Zhang currently works at the Division of Gastrointestinal Surgery & Gastric Cancer Center, The First Affiliated Hospital of Sun Yat-sen University. Jian does research in Genetics/Epigenetics and Cancer Research. He is also the editorial board member of Frontiers in Oncology and Frontiers in Bioinformatics.
Dr. Qianwen Zhang is an Assistant Professor at Mississippi State University.
Her research is focusing on Organic Agriculture, Biostimulant Application, Controlled Environment Agriculture, Hydroponics, Analytical Chemistry, Food Science, Microbiology, and Sensory Evaluation.
Dr. Lin Zhang is Associate professor within the School of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, China.
His research interests focus on:
1)How ectotherms (with tropical lizard as subject) linking bioenergetics and overwintering strategy during global warming
2)Macro-evolution including activity, metabolism and reproduction in squamate
Assistant Professor in Bioinformatics, St. Louis University.
Dr. Zhang is a Staff Scientist from Lawrence Livermore National Laboratory. He holds a PhD in Pharmaceutical Sciences. His research mainly focuses on bio-molceular interaction by using microscopy and Molecular Dynamic simulations. He served as PI and Co-I in two projects.
Dr. Xin Zhang is Department Director and Principal Investigator of the Clinical Experimental Center at Jiangmen Central Hospital (China). He received his Ph.D. in Molecular Medicine from Sun Yat-sen University in 2016. Dr. Zhang is an enthusiastic, early career scientist involved in interdisciplinary training and has a strong biological background, including molecular pathology, molecular diagnostics, and molecular pharmacology. His current research interests mainly focus on the molecular mechanism of tumor recurrence and metastasis, clinical application of molecular diagnosis, and molecular pharmacological mechanism of traditional Chinese medicine in potential therapeutic application of cancer.
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.
I pursued my bioinformatics Ph.D. degree in the center of bioinformatics in Peking University. During my Ph.D. study, I received comprehensive training in molecular biology, biostatistics and bioinformatics including research designs, computational tool development and database implementation. With a solid background and comprehensive knowledge in bioinformatics and biological networks, I filled a postdoctoral research fellow position at the Vanderbilt University. During this period, I received excellent training in the understanding of genetics of complex diseases including cancer and pulmonary disease, and I applied my bioinformatics skills in analysis of large scale next-generation sequencing (NGS) data.
To date, I have worked in four different research areas. The first is data collection from public literature and databases to build bioinformatics tools for public use. The second is the integrative analysis of NGS data to decipher the genetic mechanism of complex disease. Thirdly, I applied network-based strategy on the interplay of tumor suppressor genes (TSGs) and oncogenes (OCGs) using the public cancer genomic/epigenetic data. Lastly, I translated my disease genomics expertise to huge marine genomic data to explore the common cell-cell communication mechanisms of metazoan.
Associate professor (with tenure) of Biostatistics, University of Alabama at Birmingham; Ph.D. in Bioinformatics, University of California, San Diego; M.Sc. in Computer Science, National University of Singapore. Current research interests include bioinformatics and statistical genetics problems relating to next-generation sequencing and the integration of multiple types of Omics scale data.
Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.
Matteo Zucchetta obtained his PhD thesis entitled "Habitat distribution models for the management of fishery and conservation concern species in lagoon environment” at the University Ca’ Foscari Venice (Italy). He has previously covered the position of researcher University Ca’ Foscari Venice (Department of Environmental Sciences, Informatics and Statistics) and at the National Centre for Coastal Zone Protection and Characterization, Marine Climatology and for Operational Oceanography of the Italian Institute for Environmental Protection and Research (ISPRA). Since 2020 he is a researcher of the Institute of Polar Sciences of the National Research Council of Italy. His work was carried out in the framework of different EU and Italian projects, and his main research topics are: 1) analysis of the spatial distribution of plant and animal species in coastal and transitional water bodies; 2) Community ecology in transitional water ecosystems; 3) Use of fish fauna assemblages as indicators of ecosystem ecological status; 4) Ecological models for food webs analysis; 5) Climate changes effects on aquatic ecosystems.