I currently work as a Computational Biologist at Tempus.
My past and present research interests encompass computational biology, computer science, oncology, genomics.
Previously, I was a Postdoctoral Fellow at the Center for Population Genomic Health, a member of the Charles Bronfman Institute of Personalized Medicine at the Icahn School of Medicine at Mount Sinai.
I earned my PhD in cancer genetics at the University of Liège, where I carried my research at the Unit of Human Genetics of the GIGA research center. During my PhD, I was advised by Prof. Vincent Bours and Prof. Guy Jerusalem and my work was funded by an FRS-FNRS fellowship.
I apply machine learning, algorithmics, and software engineering methods to data arising from population genomics and cancer genomics related questions.
As the modern genomic and transcriptomic techniques yield vast amounts of data, machine learning methods are well suited to tackle problems taking roots in these fields.
My past and present research projects include using circulating miRNAs as cancer biomarkers, studying the global disruption of antisense long non-coding RNAs in breast cancer samples, analyzing real-time pharmacogenetics phenotypes in ancestrally diverse populations, using graph theory analysis on Identity-By-Descent networks and developing novel, machine learning based, gene prioritization methods.
My research projects have led me to work with exome, and transcriptome (RNA) sequencing data, as well as genotyping and aCGH. I was particularly interested in the integration of these different techniques, and how the consequent emergent information would give a better understanding of sample specificities.
During my thesis, I've had the opportunity to work on projects related to the clinical (non-invasive diagnosis), technical (CNV detection), and molecular (non-coding RNAs) aspects of cancer. Throughout my postdoc, I've applied statistical genetics methods to biobank-scale datasets.
My activities have led me to work both in a research and a clinical setting, often building bridges between both.
See Google Scholar for a full publication list, including consortium and group authorships, and pre-prints.
Rapid response to the Alpha-1 Adrenergic Agent Phenylephrine in the Perioperative Period is Impacted by Genomics and Ancestry .
Transcriptome-wide analysis of natural antisense transcripts shows their potential role in breast cancer.
Exome Copy Number Variation detection: use of a pool of unrelated healthy tissue as reference sample.
Variations of circulating biomarkers during and after anthracycline-containing chemotherapy in breast cancer patients.
Genomic Studies of Multiple Myeloma Reveal an Association between X Chromosome Alterations and Genomic Profile Complexity.
Evaluation of BRCA1-related molecular features and microRNAs as prognostic factors for triple negative breast cancers.
Method for the diagnosis of breast cancer.
European Patent EP2942399. 2015
Genomic and transcriptomic comparison between breast cancers from patients of African and European genetically determined ancestries demonstrates potential for ancestry specific biomarker-informed therapies.
American Association for Cancer Research (AACR) annual meeting. 2022
Transferring diagnostic and prognostic molecular models across technological platforms.
American Association for Cancer Research (AACR) annual meeting. 2021
Towards cancer mega-cohorts: A novel homogenization algorithm applied to diverse breast cancer RNA-Seq datasets.
American Society of Clinical Oncology (ASCO) annual meeting. 2020
Rapid response to the Alpha-1 Adrenergic Agent Phenylephrine in the Perioperative Period is Impacted by Genomics and Ancestry.
6th Human Genetics in NYC Conference. 2018
A new paradigm for pharmacogenomic discoveries: Capturing drug response during surgery.
American Society of Human Genetics (ASHG) annual meeting. 2018
Capturing drug response during surgery for pharmacogenomic discoveries.
5th Human Genetics in NYC Conference. 2018
Antisense long non-coding RNAs in breast cancer: A transcriptome-wide disruption.
American Society of Human Genetics (ASHG) annual meeting. 2017
Transcriptome wide analysis of natural antisense transcripts shows their potential role in breast cancer.
European Conference of Human Genetics (ESHG). 2017
A miRNA expression based diagnostic tool for breast cancer using random forests.
Benelux Bioinformatics Conference. 2013
Exome sequencing of tumors: relevance in copy-number alteration (CNA) analysis and fixed tissue samples.
Belgian Society of Human Genetics Annual Meeting. 2013