Dimitri Lozeve
Hi! I am a Research Engineer at Sysnav, where I work on developing algorithms to help physicians measure the progress of neuromuscular diseases. We use data from inertial sensors to extract meaningful variables for pharmaceutical studies.
I was previously 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 firstname@lastname.com), reach me via Twitter or Mastodon, find me on LinkedIn, or see what I do on GitHub.
minisign/signify(1) public key: RWQ6uexORp8f7USHA7nX9lFfltaCA9x6aBV06MvgiGjUt6BVf6McyD26 (download)
Recent Posts
Get notified of new posts via RSS or Atom feeds!
- 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
- Dyalog APL Problem Solving Competition 2020 — Phase II - August 2, 2020
Find more in the archives.
Some Projects
-
Topological Data Analysis of
time-dependent networks
(sig)
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.