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.
The Quantitative Decision-making Special Interest Group (QDM SIG) was formed in October 2017. It is a group of statisticians from industry and academia, with experience and interests in statistical methods for quantitative decision-making in drug development. The objectives of the SIG are:
| Corine Baayen (Ferring Pharmaceuticals) |
| Thomas Blondel (Ceva) |
| Daniel Bratton (GSK) |
| Alex Carlton (GSK) (Co-Chair) |
| Heiko Goette (Merck) |
| Tadhg Guerin (Theravance) (Co-Chair) |
| Sandrine Guilleminot (Servier) |
| Kimberley Hacquoil (Veramed) |
| Serene Jiang (J&J) |
| Kevin Kunzmann (Boehringer Ingelheim) |
| Lesedi Ledwaba-Chapman (MMS holdings) |
| April Li (University of Cambridge) |
| Jacob Stærk-Østergaard (Novo Nordisk) |
| Donia Skanji (Servier) |
| Claire Smith (AstraZeneca) |
| Shreenidhi Soraba (AstraZeneca) |
| Julien Tanniou (Saryga) |
| Mads Wessel Pederson (Lundbeck) |
| Caroline Petit (Merck) |
| Emmanuel Pham (Nova Discovery) |
| Franck Poitiers (Sanofi) |
| Gustaf Rydevik (UCB Pharma) |
| Arnab Sarkar (Sanofi) |
| Gaëlle Saint-Hilary (Saryga) |
| Nima Shiriati (Roche) |
| Jyoti Soni (GSK) |
| Guido Thömmes (Merck) |
| Katie Thorn (GSK) |
| Stefano Vezzoli (Chiesi Farmaceutici) |
| Stig Johan Wiklund (Captario) |
For further information, or to join the QDM SIG, please contact our Co-Chairs:
Alex Carlton (GSK) alex.l.carlton@gsk.com
Tadhg Guerin (Theravance) tguerin@theravance.com
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.
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.
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.
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.
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