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lwang-genomics/README.md

Liangxi (Dale) Wang

Computational Scientist (Genomics PhD) · Statistical Modelling · Deep Learning → Quant Research, Paris

I build statistical and deep-learning models for sparse, noisy, high-dimensional biological data, and I'm training in quantitative finance through independent projects.

  • PhD in computational genomics, University of Toronto, then 3 years of research on large-scale sequencing data across international consortia
  • Deep generative models: GyreVI, a PyTorch variational autoencoder that jointly infers cyclical dynamics and cellular state from single-cell RNA-seq data (Institut Curie)
  • Six peer-reviewed papers, including a first-author paper in Genome Research (2025) (code)
  • Quantitative finance: M.Sc. in Financial Engineering, WorldQuant University (in progress); I teach Python programming for finance to Master's students at SKEMA Business School

Independent quantitative finance projects

Methods and tools

  • Statistics and machine learning: variational inference, VAEs (PyTorch), Monte Carlo simulation, PCA/SVD
  • Engineering: Python, R, Shell · Git, Snakemake, Singularity, Linux HPC (SLURM) · uv

Genomics pipelines

NGS_pipeline_sn (modular Snakemake pipeline for RNA-, ChIP- and ATAC-seq) · NGS_pipeline · RRBS_pipeline · Amplicon_analysis

LinkedIn

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  1. gyrevi gyrevi Public

    A variational autoencoder (VAE) for joint inference of cyclical dynamics and cellular state from single-cell RNA-seq data

    Python

  2. trend-following-replication trend-following-replication Public

    CFM's trend-following papers replicated on free data, plus Clenow's rules and tail protection

    Python

  3. inverse-vol-futures-overlay inverse-vol-futures-overlay Public

    Walk-forward study of inverse-vol multi-asset books and a vol-targeted futures overlay, with robustness tests

    Python

  4. wilsonlabgroup/NFKB-Transposon-Analysis wilsonlabgroup/NFKB-Transposon-Analysis Public

    Reproducible analysis for the Genome Research (2025) study of NF-κB binding and transposable elements across mammals

    R 1

  5. NGS_pipeline_sn NGS_pipeline_sn Public

    A modular Snakemake pipeline for scalable and reproducible processing of RNA-seq, ChIP-seq, and ATAC-seq data.

    Python

  6. RRBS_pipeline RRBS_pipeline Public

    One-liner solution for RRBS processing

    Shell