Ph.D. Computational Biology • Senior Data Scientist

Machine Learning for Single-Cell Biology

Swiss computational biologist with expertise in machine learning, genomics, single-cell transcriptomics, large-scale bioinformatics pipelines, and AI-driven biomedical discovery. Over 4 years of professional experience.

Stats
10+ Years Research
6 Methods
20+ Publications
AI Drug Discovery
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Research Focus

Single-Cell AI

Deep learning for transcriptomics.

Bioinformatics

scRNA-seq, ATAC-seq, CLIP-seq.

HPC

Nextflow, Slurm pipelines.

Experience

Senior Data Scientist — Alithea Genomics
Jan 2025 – Present

- Lead Nextflow pipelines
- Product owner internal platform
- Transcriptomics R&D
- Large-scale sequencing analytics
Data Scientist — Amazon Web Services
Feb 2024 – Jan 2025
PhD — EPFL
2019 – 2024
CLIMB (deconvolution), CLIFF (drug response)

Methods

CLIMB
Bulk deconvolution of cell-type fractions
CLIFF
Drug sensitivity deconvolution
TLCpeaks
RNA-binding peak calling
pyTEnrich
TE enrichment in ChIP-seq
MatISSe
Spatial transcriptomics autoencoder model
alTErego
TE regulatory inference

Publications

Deconvolution of ex-vivo drug screening data (bioRxiv, 2023)
RNA-seq mutation detection in cancer genomes (2018)
DPPA2/DPPA4 embryonic regulation study (EMBO Reports, 2019)
Additional co-authorships: Cell Stem Cell, Nature Communications, Genome Biology