2024

• Orthogonal learners for prediction under hypothetical interventions, with application in acute kidney injury
  International Biometric Conference
  December 2024, Atlanta (Invited talk)

• Inference on variable importance measures for heterogeneous treatment effects
  Conference on Statistical Learning and Data Science
  November 2024, Newport Beach (Invited talk)

• Causal inference methods to optimize clinical decision-making in treatment initiation based on routinely collected data
  Biostatistics Seminar at the University of Copenhagen
  October 2024, Online (Invited talk)

• Causal inference methods to optimize clinical decision-making in treatment initiation based on routinely collected data
  Research Seminar at IDEAS NCBR
  September 2024, Warsaw (Invited talk)

• Inference on variable importance measures for heterogeneous treatment effects
  Bernoulli-IMS 2024 World Congress
  August 2024, Bochum (Contributed talk)

• Inference on variable importance measures for heterogeneous treatment effects
  Joint Statistical Meetings
  August 2024, Portland (Contributed talk)

• Inference on variable importance measures for heterogeneous treatment effects
  American Causal Inference Conference
  May 2024, Seattle (Poster presentation)

2023

• On a general class of orthogonal learners for the estimation of heterogeneous treatment effects
  European Meeting of Statisticians (EMS)
  July 2023, Warsaw (Contributed talk)

2022

• Sequential counterfactual prediction to support individualized decisions on treatment initiation
  IMS International Conference on Statistics and Data Science (ICSDS)
  December 2022, Florence (Contributed talk)

• Sequential counterfactual prediction to support individualized decisions on treatment initiation
  Lorentz Center Workshop “Counterfactual Prediction for Personalized Healthcare”
  December 2022, Leiden (Invited talk)

• Sequential counterfactual prediction to support individualized decisions on treatment initiation
  MLinPL Conference
  November 2022, Warsaw (Contributed talk)

• Sequential counterfactual prediction to support individualized decisions on treatment initiation
  Annual Conference of the International Society for Clinical Biostatistics
  August 2022, Newcastle upon Tyne (Contributed talk)

• Unified framework for heterogeneous treatment effects estimation
  American Causal Inference Conference
  May 2022, Berkeley (Poster presentation)

• Using routinely collected data to define the optimal timing to initiate renal replacement therapy in AKI patients
  Belgian Society of Nephrology (BVN-SBN) Annual Meeting
  May 2022, Online (Contributed talk)

• Using routinely collected data to define the optimal timing to initiate renal replacement therapy in AKI patients
  59^th European Renal Association (ERA) Congress
  May 2022, Online (Contributed talk)

• Does it matter when we start RRT in AKI? The views of a data scientist
  27^th Belgian Dialysis Symposium
  April 2022, Hasselt (Invited talk)

2021

• Counterfactual prediction to support individualized decisions on treatment initiation
  Joint Statistical Meetings (JSM)
  August 2021, Online (Contributed talk)
• On estimation and cross-validation of dynamic treatment regimes with competing risks
  European Causal Inference Meeting (EuroCIM)
  May 2021, Online (Contributed talk)

2020

• Assessing the optimal time to start renal replacement therapy using dynamic treatment regimes
  Annual Conference of the International Society for Clinical Biostatistics
  August 2020, Online (Contributed talk)