Projects
Predicting and modeling vaccination-induced immune responses through the development of advanced computational models for immunosequencing data. University of Antwerp
Predicting and modeling of vaccine-induced immune response with immunoinformatics and immunosequencing University of Antwerp
Modeling of Smoking Behavior and Lapse Prediction using Wearable and Contextual Sensors KU Leuven
The basic idea is trying to find the pattern of smoking using both physiological and contextual information collected through wearable sensors. Theose information will help us to form a quantified realationship between peoples's smoking behavior and externally measurable signals( like vital signs, location, mood and stress). Then based on that we will build a model to predict their future craving, so that we could provide tailored ...
Predicting Immune responses by Modeling immunoSequencing data (PIMS). University of Antwerp
Modeling gene regulation through end-to-end deep learning for expression prediction KU Leuven
During my PhD, I will explore the potential of sequence-based deep learning models to explore gene regulation. Current foundational deep learning models can predict chromatin accessibility and gene expression directly from the genome sequence for specific cell types. Using these models, I will perform in silico experiments to investigate the impact of enhancer and promoter sequence on accessibility and expression in different cell types. ...
Risk prediction and modeling of cancer therapy related cardiotoxicity KU Leuven
The emergence of an ever-growing number of cancer therapies had a significant impact on cancer survival rates and converted a terminal illness into a chronic disease. Unfortunately, cancer treatment success has been offset by increased morbidity and mortality due to treatment related comorbidities. Cardiovascular complications are among the most serious side effects, sometimes not becoming manifest until many years after completion of ...
Modeling and predicting HIV-1 transmission chains and therapy response. KU Leuven
Predictive simulations to explore gait control in children with cerebral palsy and provide guidance in the clinical decision making process. KU Leuven
Physics-based simulations of human movement have the potential to predict the functional outcome of treatments, thereby allowing clinicians to personalize and optimize clinical decision-making. These predictive simulations would be particularly valuable for treatments with modest and unpredictable outcomes, such as orthopedic surgeries aiming to improve walking abilities of children with cerebral palsy (CP). Yet computational and modeling ...
Towards a better selection of systemic treatment for patients with ER-positive HER2-negative breast cancer: the use of prognostic and predictive markers in early and metastatic setting KU Leuven
Worldwide, breast cancer represents about 25% of all cancers in women. There is extensive research effort into this highly complex and heterogeneous disease comprising many different histological and molecular subtypes with luminal, oestrogen receptor (ER)-positive human epidermal growth factor receptor 2 (HER2)-negative tumours being the most frequent subtype. Even within this subtype, there is a lot of heterogeneity, which complicates ...