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Working on ZenkoLab
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Working on ZenkoLab
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JosselinPerret/README.md

Josselin Perret

Engineering student at CentraleSupélec (Université Paris-Saclay, '27), currently on exchange at ESSEC Business School Singapore. My work sits at the intersection of deep learning theory, geometric machine learning, and applied finance.

Portfolio LinkedIn Email


Research

H-RSSM — Hyperbolic World Model · Project page

Independent research project combining hyperbolic latent spaces with the Dreamer/RSSM architecture. The core idea is that many environments have inherently hierarchical structure that Euclidean latent spaces represent inefficiently; replacing them with Poincaré/Lorentz manifolds should yield better sample efficiency and compositional generalization. Implemented in JAX. Targeting a preprint.

ZenkoLab · zenkolab.dev

Co-founder and CEO. Building robust diagnostic pipelines for ophthalmological imaging (diabetic retinopathy, AMD) — fine-tuning RETFound (ViT) on noisy clinical data, with post-hoc explainability. Grant recipient from Fondation CentraleSupélec.


Selected Projects

Project Description Stack
Neural Network from Scratch Full backprop implementation on MNIST with live visualization and Gradio interface NumPy
ENS × QRT Data Challenge Signal prediction on low-SNR financial time series; ensemble methods with temporal cross-validation LightGBM, Scikit-learn
French Electricity Load Forecasting Stacking ensemble with external feature engineering (HDD, holidays) for MAPE reduction LightGBM, Random Forest
Lung Patch Classification CT scan patch classification with EfficientNet-B0, HU windowing, and sliding window segmentation PyTorch

Background

Period Institution Focus
2026 ESSEC Business School Strategy, Data Science — Singapore
2024 – 27 CentraleSupélec Applied Math, Statistical Learning, AI
2022 – 24 Lycée Henri-IV MPSI / MP* (GPA 4.0/4.0)

Stack

Primary: Python · JAX · PyTorch
ML/Stats: Scikit-learn · LightGBM · Hugging Face
Systems: Linux · Docker · Git · Bash
Finance: Stochastic calculus · derivatives pricing · structured products


For research inquiries or collaborations, feel free to reach out by email.

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  1. PolyM.AI.rket PolyM.AI.rket Public

    Ask any binary question. A panel of AI analysts debates it. You get a calibrated probability.

    Python 2

  2. SmoothLife SmoothLife Public

    A remake of the famous Game of Life using continuous functions.

    Python 2

  3. neural-network-from-scratch neural-network-from-scratch Public

    NN from scratch | using only numpy

    Jupyter Notebook 1

  4. hyperbolic-rssm hyperbolic-rssm Public

    Jupyter Notebook 1

  5. StayFocus StayFocus Public

    Stay focus or it will remind you.

    Python 1

  6. JP-MORGAN JP-MORGAN Public

    JP Morgan Chase & Co. Software Engineering Job Simulation

    Jupyter Notebook