Biography
In 2016, I began my Bachelor’s degree in Biology at Utrecht University, which I successfully completed in 2019. Following my Bachelor’s degree, I pursued a Master’s degree in Molecular and Cellular Life Sciences with a Bioinformatics profile. I decided to continue my academic journey in the Zhou group to pursue a Ph.D., aiming to further enhance my Bioinformatics skills and to contribute to corneal research.
Throughout my Ph.D., I achieved significant milestones. I authored an article on a multi-omics software tool called scANANSE, specifically contributing to the development of AnanseScanpy. Furthermore, I published a review article that explored the use of specific data (single-cell RNA sequencing) in corneal research. Recently, we published a follow-up paper where we integrated datasets and applied it in two specific ways: an automated machine learning pipeline and gene-regulatory network analysis.
Currently, I am utilizing and improving on my expertise in DevOps and MLOps principles, such as continuous integration and continuous deployment (CI/CD), to automate and enhance software I am developing.
Download my resumé.
- Bioinformatics
- Machine Learning
- CI/CD (DevOps)
- MLOps
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MSc in Molecular and Cellular Life Sciences, 2021
Utrecht University
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BSc in Biology, 2019
Utrecht University
Skills
Experience
Publications
Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
In this article we construct a meta-atlas of the human cornea and show two applications: an automated machine learning pipeline and gene-regulatory network analysis.
Perturbation of epithelial and limbal stem cell identity in a mouse model of pathologic corneal neovascularization
In this article the mouse suture model is investigated for the first time at the single-cell level as well as the effects by the drug duloxetine.
Deciphering the heterogeneity of differentiating hPSC-derived corneal limbal stem cells through single-cell RNA sequencing
This article describes a data-driven strategy to produce Limbal Stem Cells derived from sources such as induced pluripotent stem cells.
Single-Cell RNA Sequencing: Opportunities and Challenges for Studies on Corneal Biology in Health and Disease
In this review article we provide an overview of the current single-cell RNA sequencing studies on the human cornea and discuss the opportunities and challenges of this technique for studying corneal health and disease.
scANANSE gene regulatory network and motif analysis of single-cell clusters
single-cell ANANSE (scANANSE) is a Bioinformatics pipeline to perform gene regulatory network and motif analysis of single-cell clusters in R and Python.
