PSI Journal Club: Randomization

PSI Introduction to Industry Training (ITIT) Course - 2026/2027

An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.

Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars

Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.

AIMS SIG - Open-Source Lunch Bites

Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.

PSI Career Young Virtual Event (Q2 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Book Club: The AI Con – Joint with ASA Book Club

The Guardian described the authors of this book as refreshingly sarcastic! What is sold to us as AI, they announce, is just "a bill of goods": "A few major well-placed players are poised to accumulate significant wealth by extracting value from other people's creative work, personal data, or labour, and replacing quality services with artificial facsimiles."

PSI Book Club: Another Door Opens – Book Club Special Event

This is a Book Club Special Event in response to the changes in our industry and as a supportive move to create community and connection for those navigating redundancy and uncertainty. Read the book in advance of the book club session then join the zoom call to discuss ideas. There will be breakout groups to connect with others, exchange experiences of how the book has helped, and offer support.

PSI Book Club: Change: How organisations achieve hard-to-image results in uncertain and volatile times

Organizations have to adapt to the transforming landscape of our industry to ensure they continue to be successful in the future. Many of us are feeling the impact of organizational change. By reading John P Kotter’s book we can understand about organizational change and learn how to thrive, rather than just survive, through change. Change, by John P Kotter (and his team), is a summary of all that he has learned over his decades of research and leading change. His book describes why many current approaches to change are inadequate and explains why new solutions need to give people a voice and a role in a new, change-embracing organization. Develop your understanding of organisational change and become empowered to be part of your organisation’s change, by reading Change by John P Kotter and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply knowledge from the book in-between sessions.

PSI Career Young Virtual Event (Q3 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Career Young Virtual Event (Q4 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Speaker	Biography
William F. Rosenberger, George Mason University	William F. Rosenberger is Distinguished University Professor at George Mason University. He received his Ph.D. in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024. In 2024 he was named the 41st Fisher Memorial Lecturer by the Fisher Memorial Trust. He has supervised 20 doctoral students who are now leaders in academia, industry, and government.
Sofia Weigle, Johnson & Johnson	Sofia Weigle is a PhD candidate from Rutgers University who lives in Tewksbury, NJ with her husband, 3 kids and 2 dogs. She has been working at Johnson & Johnson since 2021 where she started with Discovery Statistics. She is currently a Senior Scientist in Manufacturing Statistics where she supports everything from CMC regulatory filings and responses to analytical methods development.
Weng-Kee Wong, UCLA	Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the application of metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. Prof. Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a Yushan Scholarship Award from the Taiwan’s Ministry of Education.

Speaker	Biography
William F. Rosenberger, George Mason University	William F. Rosenberger is Distinguished University Professor at George Mason University. He received his Ph.D. in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024. In 2024 he was named the 41st Fisher Memorial Lecturer by the Fisher Memorial Trust. He has supervised 20 doctoral students who are now leaders in academia, industry, and government.
Sofia Weigle, Johnson & Johnson	Sofia Weigle is a PhD candidate from Rutgers University who lives in Tewksbury, NJ with her husband, 3 kids and 2 dogs. She has been working at Johnson & Johnson since 2021 where she started with Discovery Statistics. She is currently a Senior Scientist in Manufacturing Statistics where she supports everything from CMC regulatory filings and responses to analytical methods development.
Weng-Kee Wong, UCLA	Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the application of metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. Prof. Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a Yushan Scholarship Award from the Taiwan’s Ministry of Education.

Speaker	Biography
William F. Rosenberger, George Mason University	William F. Rosenberger is Distinguished University Professor at George Mason University. He received his Ph.D. in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024. In 2024 he was named the 41st Fisher Memorial Lecturer by the Fisher Memorial Trust. He has supervised 20 doctoral students who are now leaders in academia, industry, and government.
Sofia Weigle, Johnson & Johnson	Sofia Weigle is a PhD candidate from Rutgers University who lives in Tewksbury, NJ with her husband, 3 kids and 2 dogs. She has been working at Johnson & Johnson since 2021 where she started with Discovery Statistics. She is currently a Senior Scientist in Manufacturing Statistics where she supports everything from CMC regulatory filings and responses to analytical methods development.
Weng-Kee Wong, UCLA	Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the application of metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. Prof. Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a Yushan Scholarship Award from the Taiwan’s Ministry of Education.

Speaker	Biography
William F. Rosenberger, George Mason University	William F. Rosenberger is Distinguished University Professor at George Mason University. He received his Ph.D. in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024. In 2024 he was named the 41st Fisher Memorial Lecturer by the Fisher Memorial Trust. He has supervised 20 doctoral students who are now leaders in academia, industry, and government.
Sofia Weigle, Johnson & Johnson	Sofia Weigle is a PhD candidate from Rutgers University who lives in Tewksbury, NJ with her husband, 3 kids and 2 dogs. She has been working at Johnson & Johnson since 2021 where she started with Discovery Statistics. She is currently a Senior Scientist in Manufacturing Statistics where she supports everything from CMC regulatory filings and responses to analytical methods development.
Weng-Kee Wong, UCLA	Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the application of metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. Prof. Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a Yushan Scholarship Award from the Taiwan’s Ministry of Education.

Speaker	Biography
William F. Rosenberger, George Mason University	William F. Rosenberger is Distinguished University Professor at George Mason University. He received his Ph.D. in mathematical statistics from George Washington University in 1992 and since then has spent much of his career developing statistical methodology for randomized clinical trials. He has two books on the subject, Randomization in Clinical Trials: Theory and Practice (Wiley, 2002), which won the Association of American Publishers Award for the best mathematics/statistics book published that year, and has recently been issued in a second edition (Wiley, 2016); and The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley, 2006). In 2017 he was named the 15th Armitage Lecturer at the University of Cambridge, UK. He was elected the North American Editor of the tier-1 biostatistical methodology journal Biometrics, for 2021-2024. In 2024 he was named the 41st Fisher Memorial Lecturer by the Fisher Memorial Trust. He has supervised 20 doctoral students who are now leaders in academia, industry, and government.
Sofia Weigle, Johnson & Johnson	Sofia Weigle is a PhD candidate from Rutgers University who lives in Tewksbury, NJ with her husband, 3 kids and 2 dogs. She has been working at Johnson & Johnson since 2021 where she started with Discovery Statistics. She is currently a Senior Scientist in Manufacturing Statistics where she supports everything from CMC regulatory filings and responses to analytical methods development.
Weng-Kee Wong, UCLA	Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the application of metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. Prof. Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a Yushan Scholarship Award from the Taiwan’s Ministry of Education.

Past PSI Events

On this page:

Conferences