Xing Li has completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor. He is an Assistant Professor in Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic which has been recognized as the best hospital for 2014-2015 by US News & World Report. He has published more than 18 papers in reputed journals and has been serving as Peer Reviewers of over a dozen of journals, such as Genomics, BMC Bioinformatics, Stem Cell Research, PLOS ONE, Physiological Genomics, etc.

Bioinformatics, RNA level; genetic mutations; or abnormal epigenetic modifications at the genome or DNA level,Sequencing analysis,Data integration and visualization

Dr. Zhang is currently Chair of the Department of Statistics. He received his Ph.D. in statistics from the University of Alberta in 1997. His research interests cover a wide range of topics which include general statistical methodology, empirical Bayes data analysis, bioinformatics, large scale multiple hypothesis testing and its application to genomics, statistical methods related to influenza virus genotyping and developing computationally intensive algorithms for analyzing biological and health survey data. He has also worked in big data analytics.

General statistical methodology, empirical Bayes data analysis, bioinformatics, large scale multiple hypothesis testing and its application to genomics, statistical methods related to influenza virus genotyping

Vladimir Anisimov is a world-recognized expert in statistical modelling of clinical trials. He has an experience in pharmaceutical industry since 2002 when he joined the Research Statistics Unit, GlaxoSmithKline. He led the development and implementation of the innovative analytic statistical methodologies and predictive patient recruitment and drug supply modelling tools in GSK trials. In 2012 he joined the Advanced Analytics Group, Innovation, Quintiles. Currently - Statistical Consultant, Biopharmaceutical Industry. Prior to GSK he had worked as university professor, established the Applied Statistics Department at Kiev University, Ukraine and served for more than 20 years as Professor & Head and also as Supervisor of Probabilistic-Statistical Laboratory at the same Department. He got Ph.D. and Sc.Dr. (Hab) in probability and statistics and diploma of Professor in Applied Statistics from Kiev University. He has published about 200 papers and several books in stochastic models, applied probability and statistics, supervised 24 Ph.D. theses, and is an elected member of the National Academy of Sciences in Ukraine. He has supervised numerous number of different industrial projects and some EU projects (Tempus, Intas).

Biostatistics, Clinical Trials, Stochastic Models, Statistics, Predictive Analytics, Clinical Study Design, Clinical Research

Dr. Abdel-Salam Gomaa Abdel-Salam holds BS and MS (2004) degrees in Statistics from Cairo University and MS (2006) and PhD (2009) degrees in Statistics from Virginia Polytechnic Institute and State University (Virginia Tech, USA). Prior to joining Qatar University as an Assistant Professor and a Coordinator of the Statistical Consulting Unit and Coordinator for the Statistics Programs, Dr. Abdel-Salam taught at Faculty of Economics and Political Science (Cairo University), Virginia Tech, and Oklahoma State University. Also, he worked at JPMorgan Chase Co. as Assistant Vice President in Mortgage Banking and Business Banking Risk Management Sectors. He has published several research papers and delivered numerous talks and workshops. Dr. Abdel-Salam has awarded couples of the highest prestige awards such as Teaching Excellence from Virginia Tech, Academic Excellence Award, Freud International Award, and Mary G. Natrella Scholarship from American Statistical Association (ASA) and American Society for Quality (ASQ), for outstanding graduate study of the theory and application of Quality Control, Quality Assurance, Quality Improvement, and Total Quality Management. He is a member of the ASQ and ASA.

industrial statistics and Economic Capital Models, including statistical process control, multivariate analysis, Regression Analysis, Exploratory and Robust Data Analysis, mixed models, Nonparametric and Semiparametric profile monitoring, Health-related monitoring and prospective public health surveillance

Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers, BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. He designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement. He is editorial board member for “World Journal of Mechanics” and “Fluid Mechanis: Open Access”. He reviewed 50+ research papers for various journals

Convection, non-newtonian fluids, porous media, heat and mass transfer, stability, numerical solutions, optimization, computational fluid dynamics, Big data, Data mining, Data Analytics & Business Intelligence

Award winning Key Note Speaker at International Level, Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc. degree in Statistics and joined Agricultural Research Service (ARS) of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics) in 1976. In recent past was engaged as National Consultant (Impact Assessment), for East & North Eastern States of India at National Agricultural Innovation Project (World Bank funded) of ICAR. Prior to that he had served as a Consultant (Statistics) at Central Agricultural University, Agartala. Earlier had served at CIFA, ICAR, as Principal Scientist and was involved in applied research in the areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At International level he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3 years. He has successfully organized many workshops on application of ICT in fisheries/agriculture research at National and International level. Prof. Roy is having over 45 years of research and teaching experience. His recent best-sellers are 'Applied Big Data Analytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; ‘Web Resources for Bioinformatics, Biotechnology and Life Sciences Research: Bioinformatics Skill Development’; 'Applied Bioinformatics, Statistics and Economics in Fisheries Research'; 'Applied Computational Biology & Statistics in Biotechnology and Bioinformatics' and Data Science –A Career Option for 21st Century. He is widely recognized as an expert research scientist, teacher, author, hands-on leader in advanced analytics. Presently visiting professor of four Indian universities

Statistics, Bioinformatics Analytics, and Economic

Award winning Key Note Speaker at International Level, Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc. degree in Statistics and joined Agricultural Research Service (ARS) of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics) in 1976. In recent past was engaged as National Consultant (Impact Assessment), for East & North Eastern States of India at National Agricultural Innovation Project (World Bank funded) of ICAR. Prior to that he had served as a Consultant (Statistics) at Central Agricultural University, Agartala. Earlier had served at CIFA, ICAR, as Principal Scientist and was involved in applied research in the areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At International level he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3 years. He has successfully organized many workshops on application of ICT in fisheries/agriculture research at National and International level. Prof. Roy is having over 45 years of research and teaching experience. His recent best-sellers are 'Applied Big Data Analytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; ‘Web Resources for Bioinformatics, Biotechnology and Life Sciences Research: Bioinformatics Skill Development’; 'Applied Bioinformatics, Statistics and Economics in Fisheries Research'; 'Applied Computational Biology & Statistics in Biotechnology and Bioinformatics' and Data Science –A Career Option for 21st Century. He is widely recognized as an expert research scientist, teacher, author, hands-on leader in advanced analytics. Presently visiting professor of four Indian universities.

Statistics, Bioinformatics Analytics, and Economic