2022-11-17 Members’ News We would like to congratulate the new ISI Elected Members, who were elected in the Fourth Round of the 2022 ISI Membership Elections. Brazil Jesús Enrique Garcia University of Campinas Associate Professor at the University of Campinas, Brazil. His areas of specialization are inference in Markov processes, dependence models, and computational linguistics. Marcos Oliveira Prates Universidade Federal de Minas Gerais Marcos Prates is currently an Associate Professor at the Universidade Federal de Minas Gerais and received his Ph.D. in Statistics in 2011 from the University of Connecticut. His main research areas are Bayesian Statistics, Generalized Linear Mixed Models, Machine Learning, and Spatial Statistics. Canada Robert William Platt McGill University Robert Platt is Professor in the departments of Pediatrics and of Epidemiology, Biostatistics, and Occupational Health at McGill University and holds the Albert Boehringer I Chair. He is editor-in-chief of Statistics in Medicine and is on several editorial boards. He has published over 400 articles, one book and several chapters. China Yifan Cui Zhejiang University Yifan Cui is a tenure-track faculty member at the Center for Data Science, Zhejiang University. Italy Luca Secondi University of Tuscia (Viterbo, Italy) Luca Secondi is Associate Professor of Economic Statistics at the University of Tuscia (Viterbo, Italy) and since November 2019 he has been appointed Rector’s Delegate for national and international rankings. His main research interests and participation as a leader and member of national and international research projects have mainly focused on the definition and application of statistical methods for modelling and measuring sustainable economic consumption and production behaviour, including sustainable food management, on the analysis of households’ living conditions at territorial level and on the entropy-based estimation of production and demand functions within the CGE modelling approach. Philippines Francisco N. De Los Reyes University of the Philippines Francisco de los Reyes teaches at the School of Statistics, University of the Philippines. He is a productive academic and recipient of public service and teaching excellence awards. He is currently the Admissions Director of the University of the Philippines. He is also a Data Science practitioner in industry. USA Snehalata Vasant Huzurbazar School of Mathematical and Data Sciences, West Virginia University, USA My academic career spans Statistics, Biostatistics and now Data Science, both as places of employment as well as research and teaching. I collaborate with researchers across disciplines, and most recently, I am learning about problems in space weather and working with aerospace engineers. Zhenzhen Jin Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA Professor of Biostatistics at Columbia University in New York City. His research area covers resampling methods, survival analysis, nonparametric and semiparametric methods, smoothing methods, statistical computing, machine learning and data science. He has been collaborating with clinical investigators in neurology, cardiology, oncology, transplantation, psychiatry, pathology and alternative medicine. Michael McDermott University of Rochester Medical Center Dr. McDermott is Professor of Biostatistics and Neurology and Associate Chair of the Department of Biostatistics and Computational Biology at the University of Rochester. For more than 30 years he has been involved in the design and analysis of clinical trials in a variety of neurological diseases, most notably Parkinson’s disease, Huntington’s disease, and various muscle diseases. Much of Dr. McDermott’s statistical research has been in the area of order-restricted inference, specifically with regard to developing novel approaches to hypothesis testing problems involving order-constrained parameters. Other interests include inference concerning receiver operating characteristic (ROC) curves in the setting of verification bias, meta-analysis, missing data problems, and clinical trials methodology. Hongjian Zhu AbbVie Inc. Dr. Zhu is a Director in the Statistical Innovation Group at AbbVie Inc. He has provided strategic, innovative thinking and novel statistical methodology to Therapeutic Areas, including Immunology, Oncology, Eye care, Aesthetics, and Neuroscience. He was a tenured Associate Professor at UTHealth. His research mainly focuses on adaptive designs. Yan Zhuang Connecticut College Dr. Zhuang is currently an assistant professor at Connecticut College. She conducts research in theory and applications in statistics, including applied probability, sequential analysis, statistical inference, and interdisciplinary research.