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Computer Vision Research Engineer @SYSNAV with a strong background in Data Science and Statistics.

Some Projects 🛠️

Analyzing Health Trajectories and Survival Outcomes in HF Patients Repo

  • "A Novel Methodological Framework for Analyzing Health Trajectories and Survival Outcomes in Heart Failure Patients".
  • Accepted Paper at ICLR 2024 Learning from Time Series for Health Workshop

Topical State Space LSTM for NLP Repo

  • Implementation of the Topical State Space LSTM model for text sequence analysis, as described in "State Space LSTM Models with Particle MCMC Inference" by Xun Zheng et al., 2017

Education 📚

  • MSc. in Statistics and Economics at ENSAE Paris - IP Paris (FRA)

    • Focus on Statistics, Machine Learning, and Deep Learning.

  • MSc. in Engineering at Mines de Saint-Etienne (FRA)

    • Achieved the title of "Ingénieur Civil des Mines" (general engineering degree) with expertise in Data Science, Big Data, and Numerical Analysis.

  • Erasmus+ Programme at Karlsruher Institut für Technologie: KIT (DE)

    • MSc. courses in Machine Learning, Knowledge Discovery, Applied Econometrics, Risk Management, and Financial Accounting.

Tristan Kirscher's Projects

asl-ml-immersion icon asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

etude-double-diplome icon etude-double-diplome

Une rapide étude de l'influence d'un double-diplôme sur la carrière des ingénieurs français. / Quick study of the influence of a double degree for French engineers.

ml-basics icon ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

ott icon ott

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

resultathle icon resultathle

Scraping, visualisation et analyse de résultats d'athlétisme depuis le site bases.athle de la FFA

sam_annotation_tool_gui icon sam_annotation_tool_gui

Annotation GUI tailored for efficiently annotating large batches of images using the "Segment Anything" model from Meta. Store segmentation masks in compressed RLE format in the decoder only version.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

simulateur_epidemie icon simulateur_epidemie

Construction d’un solveur d’EDO sur MATLAB et application à un simulateur de progression d’épidémie.

socface_nlp_project icon socface_nlp_project

Analyzing French census data (1836-1936) for demographic insights : application on household head prediction.

textmining_parcours_de_soin icon textmining_parcours_de_soin

Offical repo of the paper "A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients" (ICLR 2024)

tutorials-mva-2023 icon tutorials-mva-2023

Tutorials for the Machine Learning for Time Series class - Master MVA (2022/2023)

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