PSI Vaccine SIG Webinar: A Vaccine Statistician’s Journey in Designing and Analyzing Monoclonal Antibody Studies

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."

Causal Inference SIG and EFSPI Methods Leaders: Modern Covariate Adjustment in Clinical Trials

This webinar will discuss modern approaches to covariate adjustment in clinical trials. We begin with the motivation and key principles underlying the FDA guidance, then revisit established methodologies in light of these regulatory considerations. Building on this foundation, we explore extensions to more advanced applications in clinical trial analysis. The webinar concludes with an outlook on future developments and a panel discussion.

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 Training Course: Propensity Scores: Practical Application in Non-randomised Studies

The course will introduce the topic of propensity scores and the use of external data. Covering the topics of matching and weighting as well as more advance topics of high dimension propensity scores, multi-valued treatments, double robustness and time-varying scenarios. There will be the opportunity to participate in some hands on practical exercises in R.

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
Dr. Yunda Huang	Dr. Huang’s research areas have focused on the statistical design and analysis of vaccine clinical trials, monoclonal antibody clinical trials and immunological biomarker studies related to the prevention and treatment of HIV and other infectious diseases. She has worked closely with academic, regulatory and industrial collaborators in providing statistical leadership for 20+ phase 1/2/2b pre-efficacy and efficacy trials, and on the immune correlates studies for several landmark HIV prevention and therapeutic efficacy trials. In recent years, she spearheaded fruitful collaborations in bridging the gap between statistical methodology and pharmacometric applications in the design and analysis of single and combination HIV monoclonal antibody trials. Dr. Huang has published 100+ scientific papers in both methodological and applied statistical journals, as well as in biomedical and pharmacokinetics journals. Dr. Huang obtained her B.S. degree in Statistics from the Renmin University of China, and her Ph.D. degree in Biostatistics from the University of California, Los Angeles.

Speaker	Biography
Dr. Yunda Huang	Dr. Huang’s research areas have focused on the statistical design and analysis of vaccine clinical trials, monoclonal antibody clinical trials and immunological biomarker studies related to the prevention and treatment of HIV and other infectious diseases. She has worked closely with academic, regulatory and industrial collaborators in providing statistical leadership for 20+ phase 1/2/2b pre-efficacy and efficacy trials, and on the immune correlates studies for several landmark HIV prevention and therapeutic efficacy trials. In recent years, she spearheaded fruitful collaborations in bridging the gap between statistical methodology and pharmacometric applications in the design and analysis of single and combination HIV monoclonal antibody trials. Dr. Huang has published 100+ scientific papers in both methodological and applied statistical journals, as well as in biomedical and pharmacokinetics journals. Dr. Huang obtained her B.S. degree in Statistics from the Renmin University of China, and her Ph.D. degree in Biostatistics from the University of California, Los Angeles.

Speaker	Biography
Dr. Yunda Huang	Dr. Huang’s research areas have focused on the statistical design and analysis of vaccine clinical trials, monoclonal antibody clinical trials and immunological biomarker studies related to the prevention and treatment of HIV and other infectious diseases. She has worked closely with academic, regulatory and industrial collaborators in providing statistical leadership for 20+ phase 1/2/2b pre-efficacy and efficacy trials, and on the immune correlates studies for several landmark HIV prevention and therapeutic efficacy trials. In recent years, she spearheaded fruitful collaborations in bridging the gap between statistical methodology and pharmacometric applications in the design and analysis of single and combination HIV monoclonal antibody trials. Dr. Huang has published 100+ scientific papers in both methodological and applied statistical journals, as well as in biomedical and pharmacokinetics journals. Dr. Huang obtained her B.S. degree in Statistics from the Renmin University of China, and her Ph.D. degree in Biostatistics from the University of California, Los Angeles.

Speaker	Biography
Dr. Yunda Huang	Dr. Huang’s research areas have focused on the statistical design and analysis of vaccine clinical trials, monoclonal antibody clinical trials and immunological biomarker studies related to the prevention and treatment of HIV and other infectious diseases. She has worked closely with academic, regulatory and industrial collaborators in providing statistical leadership for 20+ phase 1/2/2b pre-efficacy and efficacy trials, and on the immune correlates studies for several landmark HIV prevention and therapeutic efficacy trials. In recent years, she spearheaded fruitful collaborations in bridging the gap between statistical methodology and pharmacometric applications in the design and analysis of single and combination HIV monoclonal antibody trials. Dr. Huang has published 100+ scientific papers in both methodological and applied statistical journals, as well as in biomedical and pharmacokinetics journals. Dr. Huang obtained her B.S. degree in Statistics from the Renmin University of China, and her Ph.D. degree in Biostatistics from the University of California, Los Angeles.

Speaker	Biography
Dr. Yunda Huang	Dr. Huang’s research areas have focused on the statistical design and analysis of vaccine clinical trials, monoclonal antibody clinical trials and immunological biomarker studies related to the prevention and treatment of HIV and other infectious diseases. She has worked closely with academic, regulatory and industrial collaborators in providing statistical leadership for 20+ phase 1/2/2b pre-efficacy and efficacy trials, and on the immune correlates studies for several landmark HIV prevention and therapeutic efficacy trials. In recent years, she spearheaded fruitful collaborations in bridging the gap between statistical methodology and pharmacometric applications in the design and analysis of single and combination HIV monoclonal antibody trials. Dr. Huang has published 100+ scientific papers in both methodological and applied statistical journals, as well as in biomedical and pharmacokinetics journals. Dr. Huang obtained her B.S. degree in Statistics from the Renmin University of China, and her Ph.D. degree in Biostatistics from the University of California, Los Angeles.

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