Dimitri Lozeve

Hi! I am an Engineering Manager at Doctrine, where we develop productivity tools to help lawyers analyze and write their private documents.

I was previously a Research Engineer and Project Manager at Sysnav, where I worked on developing algorithms to help physicians measure the progress of neuromuscular diseases. We used data from inertial sensors to extract meaningful variables for pharmaceutical studies.

Before that, I was a Data Scientist at Mindsay, working on natural language understanding for chatbots.

See my full CV, or a PDF version.

You can contact me by email (at [email protected]), reach me via Mastodon, find me on LinkedIn, or see what I do on GitHub.

Recent Posts

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• Randomness and Uncertainty: from random noise to predictable oscillations via differential equations - October 20, 2023
• High reliability organizations - June 3, 2022
• How to train your differentiable filter - May 20, 2022
• The Dawning of the Age of Stochasticity - March 24, 2022
• Planning and scheduling for project management - April 13, 2021
• Solving a problem with mathematical programming - April 2, 2021
• From graphs to Git - March 8, 2021
• Online Analysis of Medical Time Series - November 17, 2020
• Learning some Lie theory for fun and profit - November 14, 2020
• Quaternions: what are they good for? - November 9, 2020

Find more in the archives.

Some Projects

• Topological Data Analysis of time-dependent networks
  Application of the recent advances in Topological Data Analysis (TDA) and Persistent Homology to periodicity detection in temporal networks.
• Community Detection
  Community detection algorithms and applications to a large social network obtained from Prestashop data.
• Ising model simulation
  Monte Carlo simulation of the Ising model using Metropolis-Hastings.
• GardenOptim
  Optimal allocation of plant species on a non-rectangular garden subdivided in individual cells, with constraints from an affinity matrix between neighboring species. Uses mixed integer quadratic programming and Markov chain Monte Carlo.

More on the Projects page.