Estella D
Doctoral Researcher at CHUV | Lausanne university hospital
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolEstella D is a doctoral researcher in spatial transcriptomics based in Lausanne with nine years of applied biostatistics and computational biology experience across academia, industry, and healthcare. She combines deep statistical training (Master’s in Biostatistics) with hands-on engineering—building R pipelines, Shiny apps, and machine learning models—to translate complex genomic and clinical data into actionable insights. Her work spans real-world evidence, oncology and neuroimaging, and includes leading an R-for-submission project at Bayer and automating adverse-event and reporting pipelines. At CHUV she focuses on spatially resolved transcriptomics within translational data science, bridging methods development and reproducible workflows. Colleagues describe her as a pragmatic problem-solver who routinely applies causal inference and survival modeling in high-dimensional settings. She’s driven by continual learning—equally comfortable prototyping CNNs for imaging as she is formalizing statistical analyses for regulatory-grade studies.
8 years of coding experience
3 years of employment as a software developer
Doctoral, Quantitative Biology, Doctoral, Quantitative Biology at University of Lausanne - UNILMaster's Degree, Biostatistics, Master's Degree, Biostatistics at University of TorontoExchange, Scandinavian Public Health Sciences, Exchange, Scandinavian Public Health Sciences at DIS - Study AbroadExchange, Brain Computer Interface, Exchange, Brain Computer Interface at EPFL (École polytechnique fédérale de Lausanne)Bachelor’s Degree, Integrated Sciences in Statistics & Neuroscience, Bachelor’s Degree, Integrated Sciences in Statistics & Neuroscience at The University of British Columbia
French, Chinese, English, Danish
Github Skills (26)
corona10
spatial-transcriptomics10
spatially-resolved-transcriptomics10
bioconductor10
single-cell-genomics9
bioinformatics9
transcriptomics9
cran9
genomics9
spatial8
open-data8
r8
modeling-tool7
deconvolution7
differential-expression6
Programming languages (4)
Github contributions (5)
estellad/Bayesian-for-BOLD
Nov 2020 - Aug 2022
Contributions:15 commits, 5 pushes in 1 year 8 months
estellad/Discrete-vs-Continuous-MSM
Sep 2020 - Sep 2022
Modeling pharmacoepidemiological dispensation data as a multiple visit marked point process
Contributions:36 commits, 2 PRs, 28 pushes in 1 year 11 months
visitpointpoint-processmodelingmodeling-tool
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