Introduction

 Prof. Stijn Vansteelandt is a biostatistician in the Department of Applied Mathematics, Computer Science, and Statistics, whose primary expertise is in causal inference, debiased machine learning and semiparametric statistics. He previously also held a part-time professorship in the Medical Statistics Unit of the London School of Hygiene and Tropical Medicine from 2017 until 2021. He has received significant recognition for his work, including an advanced ERC grant by the European Research Council in 2024. His current research focuses on assumption-lean modeling and estimation, striving to combine the strengths of the three mainstream modeling cultures - traditional (descriptive) statistical modeling, (prescriptive) causal modeling and machine learning - with the aim to learn causal effects or associations. He has had a longstanding active involvement in editorial roles, serving as Co-Editor of Biometrics and contributing as Associate Editor for several other prominent journals in statistics and epidemiology.

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