PSI Careers Lunch & Learn: ChatGPT & Beyond

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

Topic: R Package Basics. 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, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.

PSI Mentoring 2026

Date: Ongoing 6 month cycle beginning late April/early May 2026 Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.

PSI Book Club Lunch and Learn: Communicating with Clarity and Confidence

If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event! Haven’t read the book yet? Pick up a copy today and join us. Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.

PSI Training Course: Effective Leadership – the keys to growing your leadership capabilities

This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation. The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication. The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication. The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.

Speaker	Biography
Kleio Kipourou	Kleio is a pharmacist and biostatistician/data scientist with an extensive background in both academia and the pharmaceutical industry. Currently, she is working for GSK focusing on large scale projects that have complex challenges and require analytical solutions. Prior to her role at GSK, Kleio worked for AstraZeneca, where she successfully delivered a fully automated predictive tool for over 90 active clinical trials. This innovative tool not only ensured patient safety but also maximized trial success and significantly reduced cycle times. In addition, Kleio's commitment to promoting patient diversity and addressing the impact of socioeconomic inequalities on health outcomes led her to engage in extensive research under the sponsorship of Cancer Research UK. During this time, she developed novel methods that quantify individuals risks as well as differences in cancer survival. Through her contributions, Kleio has played an essential role in advancing our understanding of these disparities and their implications for cancer patients. Presently, Kleio is leading an exciting initiative at GSK that emphasizes the ethical use of statistical models and AI. This initiative not only raises awareness but also provides essential recommendations to ensure the responsible and ethical implementation of cutting-edge technologies in pharma.
Andy Nicholls	Andy Nicholls has been a Data Scientist for as long as people started calling themselves Data Scientists. He currently serves as the Head of Data Science at GSK Biostatistics' Statistics and Data Science Innovation Hub. In this role, he leads a team dedicated to developing data science capabilities within Biostatistics and providing innovative Data Science solutions for R&D business partners in areas such as Clinical Operations, Resource Management, HR, and Finance. Before re-joining GSK in 2017, Andy held the position of Head of Data Science Consultancy at Mango Solutions, a specialised data science consultancy with a focus on the R programming language. During his tenure at Mango, he supervised various consultancy projects across multiple sectors, delivered technical training, and implemented a wide range of technical solutions, from simple analytics to extensive IoT projects. Andy's professional background also includes experience as a clinical trial statistician at GSK. He holds an MMath in Mathematics from the University of Bath and an MSc in Statistics with Applications in Medicine from the University of Southampton.
Tom Fisher	Tom is a machine learning researcher at UCB, where he one of his roles involves working as part of a team exploring the utilisation of large language models (LLMs) within the company. After studying maths at Cambridge, he pursued an MSc in Machine Learning from UCL, where he published a paper on gender bias in LLMs. During his time as a research associate at Oxford, he focused on applying machine learning techniques to remote sensing in international development before shifting his focus to electronic health records. This involved investigating the potential of BERT-like models to enhance cardiovascular disease risk prediction. In his spare time, Tom enjoys sports and music.

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