Genevera Irene Allen is an American statistician whose research has involved interpretable machine learning, [1] the reproducibility of machine learning results, [2] and the neuroscience of synesthesia. [3] She is an associate professor of electrical and computer engineering, statistics, and computer science at Rice University, and also holds affiliations with Texas Children's Hospital and the Baylor College of Medicine.
Allen is originally from rural North Carolina, and as a high school student focused on playing the viola, but switched to statistics after a shoulder injury as a college freshman. [1] She is a 2006 graduate of Rice University. She went to Stanford University for graduate study in statistics, and completed her PhD in 2010. [4] Her dissertation, Transposable Regularized Covariance Models with Applications To High-dimensional Data, was supervised by Robert Tibshirani. [5]
She returned to Rice University and the Baylor College of Medicine in 2010 as an assistant professor. Rice gave her the Dobelman Family Junior Chair from 2013 to 2017. She was named an associate professor in 2017, and became founding director of the Center for Transforming Data to Knowledge (Data to Knowledge Lab) in 2018. [4]
Allen became an Elected Member of the International Statistical Institute in 2021. [4] [6] She was named as a Fellow of the American Statistical Association in 2022. [7]
Nan McKenzie Laird is the Harvey V. Fineberg Professor of Public Health, Emerita in Biostatistics at the Harvard T.H. Chan School of Public Health. She served as Chair of the Department from 1990 to 1999. She was the Henry Pickering Walcott Professor of Biostatistics from 1991 to 1999.
Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.
Jianqing Fan is a statistician, financial econometrician, and data scientist. He is currently the Frederick L. Moore '18 Professor of Finance, Professor of Operations Research and Financial Engineering, Professor of Statistics and Machine Learning, and a former Chairman of Department of Operations Research and Financial Engineering (2012–2015) and a former director of Committee of Statistical Studies (2005–2017) at Princeton University, where he directs both statistics lab and financial econometrics lab since 2008.
Trevor John Hastie is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge. He also contributed to the development of S.
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from potentially noisy, structured, or unstructured data.
Bin Yu is a Chinese-American statistician. She is currently Chancellor's Professor in the Departments of Statistics and of Electrical Engineering & Computer Sciences at the University of California, Berkeley.
Jerome Harold Friedman is an American statistician, consultant and Professor of Statistics at Stanford University, known for his contributions in the field of statistics and data mining.
Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
William Swain Cleveland II is an American computer scientist and Professor of Statistics and Professor of Computer Science at Purdue University, known for his work on data visualization, particularly on nonparametric regression and local regression. He is remembered as one of the developers of the S programming language.
Yoonkyung Lee is a professor of statistics at Ohio State University, and also holds a courtesy appointment in computer science and engineering at Ohio State. Her research takes a statistical approach to kernel methods, dimensionality reduction, and regularization in machine learning.
James Robert Thompson was an American mathematician, statistician, and university professor whose most influential work combined applied mathematics and nonparametric statistics with computing technologies to advance the fields of financial engineering and computational finance, model disease progression, assess problems in public health, and optimize quality control in industrial manufacturing.
Cynthia Diane Rudin is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains.
Yingying Fan is a Chinese-American statistician and Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department of the Marshall School of Business at the University of Southern California. She is currently the Associate Dean for the PhD Program at USC Marshall. She also holds joint appointments at the USC Dana and David Dornsife College of Letters, Arts and Sciences, and Keck Medicine of USC. Her contributions to statistics and data science were recognized by the Royal Statistical Society Guy Medal in Bronze in 2017 and the Institute of Mathematical Statistics Medallion Lecture in 2023. She was elected Fellow of American Statistical Association in 2019 and Fellow of Institute of Mathematical Statistics for seminal contributions to high-dimensional inference, variable selection, classification, networks, and nonparametric methodology, particularly in the field of financial econometrics, and for conscientious professional service in 2020.
Kary Lynn Myers is an American statistician whose research has included work on scientific data analysis and radiation monitoring. She is a scientist at the Los Alamos National Laboratory, where she has been the deputy leader of the Statistical Sciences group. She is also known as the founder and organizer of the biennial Conference on Data Analysis (CoDA), for data-driven research within the United States Department of Energy.
Guosheng Yin is a statistician, data scientist, educator and researcher in Biostatistics, Statistics, machine learning, and AI. Presently, Guosheng Yin is Chair in Statistics in Department of Mathematics at Imperial College London. Previously, he served as the Head of Department and the Patrick S C Poon Endowed Chair in Statistics and Actuarial Science, at the University of Hong Kong. Before he joined the University of Hong Kong, Yin worked at the University of Texas M.D. Anderson Cancer Center till 2009 as a tenured Associate Professor of Biostatistics.
Rebecca Allana Hubbard is an American biostatistician whose research interests include observational studies and the use of electronic health record data in public health analysis and decision-making, accounting for the errors in this type of data. She is a professor of biostatistics in the Perelman School of Medicine at the University of Pennsylvania.
Olga Vitek is a biostatistician and computer scientist specializing in bioinformatics, proteomics, mass spectrometry, causal inference of biological function, and the development of open-source software for statistical analysis in these areas. She is a professor in the College of Science and Khoury College of Computer Sciences of Northeastern University.
Bonnie Kathryn Ray is an American statistician and data scientist, the head of data science at Chartbeat, a publisher data analytics firm. Her publications in statistics have concerned long-range dependence, change detection, orthogonal defect classification, and wide-ranging applications including financial market analysis, climate models, and software engineering.
Rui Song is a Chinese-American statistician. Her research interests include machine learning, causal inference, and independence screening for variable selection, with applications to precision medicine and economics. She works for Amazon as a senior principal scientist.
Susan Galloway Hilsenbeck is an American biostatistician whose research interests include biomarkers and the applications of biostatistics in cancer research. She is a professor in the Baylor College of Medicine, where she directs the Quantitative Sciences Share Resource in the Dan L. Duncan Comprehensive Cancer Center.