Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Who is this event intended for? This event is intended for people who create data visualizations as well as customers who work with data visualization developers to make their data come to life.
What is the benefit of attending? This is a fun event where the audience will participate and become part of an experiment using polls and quick exposure to images (~250 milliseconds) to validate some of the principles taught in this course. This event will benefit data visualization developers and customers by teaching them how to leverage gestalt principles and pre-attentive processing in selecting aesthetics to maximize the effectiveness of their data visualizations.
Registration
You can now register for this event. This event is free of charge to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
The visual cortex can recognize certain “targets” and “borders”, based on variations in visual cues such as shape and color, within 250 milliseconds; this is called pre-attentive processing. This is faster than it takes to become conscious of the image. When combining visual cues, conjunctive visual cues, the pre-attentive qualities are generally lost. We will illustrate these concepts through an empirical experiment with the audience. The audience will be expected to participate and identify targets and borders within 250 milliseconds. We will cover what types of visual cues are conducive to pre-attentive processing and how to incorporate these concepts in your data visualizations. Similarly, the study of gestalt principles from psychology, seeing meaning in a purposeful arrangement of design elements, can be leveraged for effective data visualizations. We will also discuss the hierarchies of perception and how this applies to data visualization.
Speaker details
Zachary Skrivanek
Dr. Skrivanek graduated with a Ph.D. in biostatistics from Ohio State University and a B.S. from Cornell University, where he studied exploratory data analysis under Professor Velleman, a protégé of John W. Tukey, who invented a number of statistical graphics including the box plot. He joined Eli Lilly in 2002 where he contributed to the development of endocrine-related medicines and related biomarkers in early clinical phase drug development. He later transitioned to a product team in late phase clinical development as the lead statistician and developed and successfully implemented an innovative Bayesian adaptive, seamless phase 2/3 study which selected the doses for the entire program utilizing a clinical utility index. Dr. Skrivanek heavily leveraged data visualization to communicate the operating characteristics of the design as well as the results of the study.
He is currently leading an effort to make visual analytics and good data visualization practices in general an integral part of drug development at Eli Lilly and the industry in general. He is involved in a number of external collaborations focused on advancing drug development through visual analytics including co-leading a subproject in PHUSE, on “Interactive Data Visualizations for Decision Making in Submissions”, and contributing to an ASA-DIA working group on interactive safety graphics and an organizing member on a PSI (Statistics in the Pharmaceutical Industry) Special Interest Group (SIG) which hosts a monthly event, “Wonderful Wednesdays” where members are given data visualization challenges that they must solve for the following month and the solutions are critiqued by the panel based on good data visualization principles.
Upcoming Events
PSI Book Club: Change: How organisations achieve hard-to-imagine 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.
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 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: 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.
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.
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.
Making Estimands Work - Practical Approaches with Implementation in Data Standards
This event will discuss the impact of the estimand framework on data flow and data handling for analysis datasets (ADaM). What are the considerations to produce data sets suitable for estimation of estimands and traceability of the occurrence of intercurrent events. This webinar will include tips for best practice, based on the White paper Implementation of ICH E9(R1) Estimands Framework using Data Standards.
PSI/EFSPI Biomarker SIG Webinar: Statistical Methods for ctDNA Data
This webinar will describe what ctDNA is and what the key challenges are for analysing it. We will then summarise and review methods that were published over the last few years for analysing ctDNA data.
This two-afternoon virtual course provides a practical introduction to adaptive clinical trials, focusing on the concepts, applications, and regulatory principles outlined in ICH E20 through real-world examples and case studies.
PSI Careers - MEDMathS: Medicine Empowered by Data, Maths and Statistics
Date: Wednesday 4th November 2026
A careers talk about medical statistics and how it plays a crucial role in developing new medicines. Learn about the field of medical statistics and how it plays a crucial role in developing groundbreaking new medicines, vaccines and healthcare products.
Date: 18 November 2026
This is an excellent opportunity for students to find out more about the field of medical statistics, talk to people from different organisations and make contacts for the future. All students currently studying for a mathematics or statistics-related BSc, MSc or PhD are invited to attend, and we welcome interest from exhibitors too.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
In this vital role you will generate evidence to meet Health Technology Assessment (HTA) requirements, while ensuring that the analyses performed meet required standards and are robust and valid.
Bristol Myers Squibb - Director, Statistical Methodology and Innovation
Lead the development of innovative statistical methods, provides expert consulting, oversees tools and software, and mentors team members while collaborating cross-functionally to address complex drug development challenges.
Phastar – Associate Director, Statistics – Real World Evidence (RWE)
As an Associate Director, Statistics (RWE) you will focus on supporting one of our key pharmaceutical clients within our FSP function. This will be a hands-on technical role, with oversight responsibilities and cross-functional exposure.
Phastar – Principal Statistician – Real World Evidence (RWE)
We are seeking an experienced Statistician to join our FSP team to support one of our fantastic and well-known global pharmaceutical clients, at Principal level.
We are seeking an experienced Statistician to join our FSP team to support one of our fantastic and well-known global pharmaceutical clients, at either Senior or Principal levels.
This position is deal for a statistician who values ownership, collaboration, and using data to enable confident development decisions and to support regulatory submissions.
