About
I am a scientist at Genomics Ltd , where I apply statistical genetics methods to help find better drug targets for complex diseases.
Experience
Scientist
Genomics Ltd
Oxford/London, UK
Leveraging human genetics and multiomics data to gain insights on drug targets and their safety.
- Applied a genetics-first approach for novel drug target discovery, risk assessment, and indication expansion
- Presented genetic findings and strategic recommendations to stakeholders at partner pharma and biotech companies
- Performed fine-mapping of complex genetic signals to pinpoint causal variants across multiple diseases
- Analyzed evidence from both rare and common variants using methods like colocalization and Mendelian randomization
Scientist (contractor)
Roche
London, UK (remote)
Development of a similarity-based gene prioritisation method.
- Continuation and expansion of the work started during the RiSE studentship
- Benchmarking against other similarity-based methods (e.g. PoPS)
- Implementation in a python package, CLI tool and Nextflow pipeline used internally
RiSE Student
Roche
Basel, Switzerland
Development of a similarity-based gene prioritisation method.
- RiSE studentship in the neurogenomics team (Pharma Research and Early Development (pRED))
- Development of a similarity-based machine learning method for risk gene prioritisation from GWAS summary statistics
Software Developer
Infotel
Paris, France
Software maintenance and development at the Bank of France.
- Development and maintenance of a legacy codebase
- Promoting better coding practices within the team: clean code, TDD, and initiation of regular internal tech meetings
Junior Bioinformatician
Sophia Genetics
Saint-Sulpice, Switzerland
Development and benchmarking of a CNV detection pipeline in exome sequencing data
- Master’s thesis project completed at Sophia Genetics
- Worked on the application of the internal CNV calling algorithm to clinical exome data
- Benchmarking against existing methods XHMM and CoNIFER
Graduate Research Assistant
Swiss Federal Institute of Technology Lausanne (EPFL)
Lausanne, Switzerland
Digital Epidemiology Lab - Prof. Marcel Salathé
- Exploration of application of deep learning to genetic data
- Helped prepare genetic datasets for OpenSNP height prediction challenge on AI Crowd platform
Undergraduate Research Assistant
Institut Pasteur
Paris, France
Internship at the Biology of Infection Unit - Prof. Marc Lecuit
- Study of the hepatic response to Listeria monocytogenes.
- Experiments in sterile environment and in A3 animal facilities.
- Contribution to research plan elaboration and communication with a multidisciplinary team.
- Contributed to findings published in an original research paper .
Education
PhD in Statistical Genetics
University of Dundee
Dundee, Scotland
PhD in the department of Population Health and Genomics - School of Medicine. Supervised by Andrew Brown, PhD and Prof. Ewan Pearson.
Master in Life Sciences and Technology
EPFL
Lausanne, Switzerland
Specialization in Molecular Medicine and Systems Biology
Bachalauréat S (Scientific High School Diploma)
Lycée Louis Lachenal
Argonay, France
Baccalauréat S (Scientific High School Diploma)
Skills
Knowledge
Life sciences
- Bioinformatics
- Cellular biology
- Genomics
- GWAS
- Complex traits genetics
- Colocalisation
- Mendelian randomisation
Engineering
- Statistics
- Data analysis
- Machine learning
- Signal processing
Languages
- French (native)
- English (fluent)
- German (basic)
Programming languages
Python stack
- click
- matplotlib
- numpy
- pandas
- pysam
- sklearn
- statsmodels
- xgboost
R
- tidyverse
- coloc
- lme4
- TwoSampleMR
Occasional usage
- shell scripting
- SQL
Previous experience with
- C++
- CSS
- HTML
- Java
- JavaScript
- octave/matlab
Tools
Bioinformatics
- bcftools
- GSEA
- htslib
- MAGMA
- PoPS
- Plink
- Nextflow
Environment
- conda
- copilot
- jupyter lab
- VS Code
- vim
- poetry
- HPC
- RStudio
- TREs
Collaboration
- git
- svn
- Jira
- Confluence
- github
- github actions
