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About

I am a scientist at Genomics Ltd , where I apply statistical genetics methods to help find better drug targets for complex diseases.

Experience

April 2024 - Current

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
Sept. 2023 - March 2024

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
April 2022 - Dec. 2022

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
May 2018 - May 2019

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
March 2017 - Sept. 2017

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
Aug. 2016 - Jan. 2017

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
July 2013 - Aug. 2013

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

Sept. 2019 - Sept. 2023

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.

2014 - 2017

Master in Life Sciences and Technology

EPFL
Lausanne, Switzerland

Specialization in Molecular Medicine and Systems Biology

2011 - 2014

Bachelor in Life Sciences and Technology

EPFL
Lausanne, Switzerland

2008 - 2011

Bachalauréat S (Scientific High School Diploma)

Lycée Louis Lachenal
Argonay, France

Baccalauréat S (Scientific High School Diploma)

2008 - 2009

Allgäu Gymnasium
Kempten, Germany

Year abroad

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