PSI Training Course: Introduction to Machine Learning

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Date: Monday 22nd - Thursday 25th April 2024
Time: 09:00-12:30 BST (on all 4 days)
Location: Online via Zoom
Presenters: Helena Andres-Terre (UCB), Moira Verbelen (UCB), Jolyon Faria (AstraZeneca), Leo Souliotis (AstraZeneca) and Karim Malki (UCB)

Who is this event intended for? This course is aimed at clinical trial statisticians who are new to or with limited experience of machine learning.
What is the benefit of attending? 
Attendees will learn about a range of topics in machine learning, including practical sessions in R.


Early Bird PSI Members = £320+VAT
Early Bird Non-Members = £430*+VAT
*Please note: Early Bird prices expire at 17:00 on Friday15th March 2024.

Standard PSI Members = £360+VAT
Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024. 


To register your place, please click here.


Four sessions will include ML foundation (including an introduction, data exploration for ML and dimensionality reduction and feature selection), Supervised learning (including support vector machines and model evaluation and interpretation), model optimization and unsupervised learning (including clustering) and advanced topics (including neural networks, deep learning and large language models). 

Speaker details




Helena Andres-Terre is a Principal Biostatistician at UCB, where she develops AI solutions for Clinical Research, with special interest on Deep Learning, Generative Models and Integration of Multi-Modal data. She holds a PhD in Artificial Intelligence from the University of Cambridge, with experience in Unsupervised Learning Models for multi-modal integration on medical and healthcare data.

Moira Verbelen

Moira Verbelen is Head of Machine Learning, AI and Data at UCB, and is passionate about adopting and implementing innovative AI methods in pharmaceutical research, in particular delivering AI solutions throughout all phases of clinical development. With a background bridging Pharmaceutical Sciences and Biostatistics, Moira holds a PhD from King’s College London, specializing in Machine Learning applied to Pharmacogenetics.

Jolyon Faria

Jolyon Faria works within the LASER Team within Oncology Data Science at AstraZeneca. He is aligned to the Lung cancer portfolio and his role is to perform retrospective analyses of AZ clinical trials and relevant multimodal data, with a focus on Statistics and Machine Learning, to inform the AZ Strategy for instance for PhIII Investment Decisions. He has a background in Biology: PhD (Univ. Leeds);

Postdoc (Princeton Univ.), and Applied Statistics: (MSc Univ. Oxford) and is a Chartered Statistician (CSTAT; Royal Statistical Society, UK).

Leo Souliotis

Leo Souliotis is part of the LASER team within the Oncology Data Science at AstraZeneca.

His role includes performing statistical and ML analyses in Lung studies, focusing on multi-study analysis in the Lung space. He is also leading an internal course on how

to use Python for Data Analysis. He is a Data Camp instructor, after developing the “Efficient Python coding in pandas ". He has a background in Statistics: MSc (Imperial

College London), PhD (University of Warwick).

Karim Malki



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