Date: Tuesday 12th December 2023 Time: 12:00-13:00 GMT Location: Online Speakers: Paul Terrill (PT Stat Consulting), Kimberley Hacquoil (Exploristics) and Ursula Becker (Roche).
Who is this event intended for? This Lunch & Learn is for anyone wanting to see some (fun) practical examples of use of AI tools such as ChatGPT. Whether you're a statistician, programmer, or simply someone intrigued by the limitless possibilities of AI, this session will give you insights into how you can use AI right now. This session requires no prior knowledge and will be a learning opportunity for those less familiar with AI.
What is the benefit of attending? This interactive session will showcase what AI can and cannot do (yet). It promises to be a fun opportunity to learn more about AI capabilities, challenge yourself and have a blast!
Registration
Registration for this webinar is free for both Members of PSI and Non-Members.
To register for this event, please click here.
Overview
This PSI Lunch & Learn series focuses on career-related topics through a panel discussion, hosted by Claire Brittain & Chetan Mistry.
Upcoming session:- In a world buzzing with artificial intelligence, can you distinguish between what's AI-generated and what's not? It's time to put your intuition to the test in a fun and interactive quiz! As always, our fantastic panel will be on hand with commentary throughout to share their experience and perspectives on AI in the workplace. The session promises to showcase machine-generated content, challenging your perceptions, and luring you into the fascinating world of AI technology.
There will of course be a festive theme given the time of year so sign up, sit back and have a mince pie or two.
Speakers
Speaker
Biography
Kimberley Hacquoil
Kim is a highly skilled statistical leader who has worked widely in the pharmaceutical industry. As Chief Data Scientific Officer at Exploristics she provides statistical advice and consultation around drug development options and study design using novel methods and software. Kim has previously worked at GSK and has over 17 years in-depth experience across a wide range of therapeutic areas, mainly in early development. She has led numerous projects, implemented company-wide initiatives and championed new approaches to decision making in clinical development including futility and predictive inference, prior elicitation, and assurance. She also has experience in strategic decision-making and analytics at a portfolio level.
Kim currently sits on the Board of Directors for PSI leading the Careers team and is eager to support and develop statisticians in advancing non-technical skills to impact and influence.
Paul Terrill
Paul Terrill is a distinguished statistician known for his significant contributions to the field. With a background in advanced statistical methods, he has played a pivotal role in shaping data analysis techniques. Terrill's work spans various domains, including healthcare, finance, and social sciences, where his expertise has been instrumental in deriving meaningful insights from complex datasets. His commitment to precision and innovation has earned him recognition as a leading figure in the world of statistics.
Ursula Becker
Ursula is leading a team of Evidence Leads (statisticians and health economists) at Roche’s headquarters. She is a medical statistician by training and has also an MBA. After her studies she started her career in market research and database marketing before joining the Pharmaceutical Industry more than 15 years ago. She has worked in different areas of pharmaceutical development, both at a global level and also at the German affiliate across a variety of disease areas (e.g., Oncology, Infectious Diseases, Neurosciences).
Ursula is passionate about diversity, equity and inclusion. The topic of disability inclusion is particularly close to her heart. She is chairing the Roche internal network on this topic and has launched CareRing, Roche’s internal community for patients and caregivers a few years ago.
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• Navigate common challenges in implementing the framework during reporting.
• Apply best practices to enhance regulatory submissions, webposting in public registries (clinicaltrials.gov/CTIS), and scientific publications.
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This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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