Identification of single cell blasts in pediatric Acute Myeloid Leukemia using an Autoencoder
- Alice Driessen
- Susane Unger
- et al.
- 2024
- Life Science Alliance
Alice Driessen
Title
Pre-doctoral researcher
Bio
Alice Driessen is a Predoctoral Researcher in the Cognitive Computing & Industry Solutions department of the IBM Research Zurich Laboratory.
Working towards an AI-driven engineering of the immune system, her role is to develop multi-scale T cell models that can be applied in cancer immunotherapy or give insights to auto-immune diseases.
She is also part of an international training network, called ENLIGHT-TEN+ consortium, as an early stage researcher.
In 2020, Alice received her Master's degree in Bioinformatics and Systems Biology from the Vrije Universiteit and University of Amsterdam in the Netherlands.
From 2013 to 2017, she pursued her studies towards a Bachelor's degree in Biomedical Sciences at Utrecht University.
Publications
Detecting Blasts with Single Cell Resolution in Acute Myeloid Leukaemia using an Auto-Encoder
- Alice Driessen
- Susane Unger
- et al.
- 2023
- ISMB 2023
Fuzzy Logic for Biological Networks as ML Regression: Scaling to Single-Cell Datasets With Autograd
- Constance Le Gac
- Alice Driessen
- et al.
- 2022
- NeurIPS 2022
Modelling CAR T cell signalling using prior knowledge networks
- Alice Driessen
- Rocío Castellanos Rueda
- et al.
- 2022
- ISMB 2022
Learning a single-cell map of Acute Myeloid Leukaemia with auto-encoders
- Alice Driessen
- Susane Unger
- et al.
- 2022
- ISMB 2022
Projects
Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation