Initial commit

.gitignore

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+*~
+.stack-work/
+_cache/
+_site/

contact.org

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+---
+title: Contact
+---
+
+- E-mail :: [[mailto:dimitri+web@lozeve.com][dimitri+web@lozeve.com]]
+- GitHub :: [[https://github.com/dlozeve/][dlozeve]]
+- LinkedIn :: [[https://www.linkedin.com/in/dimitrilozeve][Dimitri Lozeve]]
+- StackOverflow :: [[https://stackoverflow.com/story/dimitrilozeve][dimitrilozeve]]
+- Twitter :: [[https://twitter.com/DimitriLozeve][DimitriLozeve]]

css/default.css

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+html {
+  font-size: 62.5%;
+}
+
+body {
+  font-size: 1.6rem;
+  color: #000;
+}
+
+header {
+  border-bottom: 0.2rem solid #000;
+}
+
+nav {
+  text-align: right;
+}
+
+nav a {
+  font-size: 1.8rem;
+  font-weight: bold;
+  color: black;
+  text-decoration: none;
+  text-transform: uppercase;
+}
+
+footer {
+  margin-top: 3rem;
+  padding: 1.2rem 0;
+  border-top: 0.2rem solid #000;
+  font-size: 1.2rem;
+  color: #555;
+}
+
+h1 {
+  font-size: 2.4rem;
+}
+
+h2 {
+  font-size: 2rem;
+}
+
+article .header {
+  font-size: 1.4rem;
+  font-style: italic;
+  color: #555;
+}
+
+.logo a {
+  font-weight: bold;
+  color: #000;
+  text-decoration: none;
+}
+
+@media (max-width: 319px) {
+  body {
+    width: 90%;
+    margin: 0;
+    padding: 0 5%;
+  }
+  header {
+    margin: 4.2rem 0;
+  }
+  nav {
+    margin: 0 auto 3rem;
+    text-align: center;
+  }
+  footer {
+    text-align: center;
+  }
+  .logo {
+    text-align: center;
+    margin: 1rem auto 3rem;
+  }
+  .logo a {
+    font-size: 2.4rem;
+  }
+  nav a {
+    display: block;
+    line-height: 1.6;
+  }
+}
+
+@media (min-width: 320px) {
+  body {
+    width: 90%;
+    margin: 0;
+    padding: 0 5%;
+  }
+  header {
+    margin: 4.2rem 0;
+  }
+  nav {
+    margin: 0 auto 3rem;
+    text-align: center;
+  }
+  footer {
+    text-align: center;
+  }
+  .logo {
+    text-align: center;
+    margin: 1rem auto 3rem;
+  }
+  .logo a {
+    font-size: 2.4rem;
+  }
+  nav a {
+    display: inline;
+    margin: 0 0.6rem;
+  }
+}
+
+@media (min-width: 640px) {
+  body {
+    width: 60rem;
+    margin: 0 auto;
+    padding: 0;
+  }
+  header {
+    margin: 0 0 3rem;
+    padding: 1.2rem 0;
+  }
+  nav {
+    margin: 0;
+    text-align: right;
+  }
+  nav a {
+    margin: 0 0 0 1.2rem;
+    display: inline;
+  }
+  footer {
+    text-align: right;
+  }
+  .logo {
+    margin: 0;
+    text-align: left;
+  }
+  .logo a {
+    float: left;
+    font-size: 1.8rem;
+  }
+}

cv.org

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+---
+title: "Curriculum Vitæ"
+---
+
+
+* Work experience
+
+*** Destygo: R&D Data Scientist
+    2018-present
+
+*** Sysnav: Real-time geolocalization algorithm on an embedded device
+    March-August 2017
+
+    - mathematical modelling of the human walk
+    - step detection using artificial intelligence on inertial sensors data
+    - statistical methods for trajectory reconstruction
+    - /Award:/ Best Research Internship 2017, from École polytechnique
+    - [[./files/sysnav_internship.pdf][Outline of the confidential report (PDF, in French)]] and [[https://dlozeve.github.io/stage3a/][slides]]
+
+*** Natixis London Branch, Global Infrastructure and Projects: Intern Analyst
+    June-August 2016
+
+    Origination and execution of project finance transactions: offshore windfarms, hydroelectric dams, and a biomass power plant now under construction in northeastern England.
+
+*** French Engineering Corps: Army officer
+    2014-2015
+
+    Operation Sangaris: Military intervention in the Central African
+    Republic.
+
+    - Instructor for new recruits for 4 months (around 30 soldiers)
+    - Security Officer during the building of a Bailey bridge in Bangui
+    - Participation in an intelligence gathering mission in the Northeastern part of the country
+    - /French Republic Distinctions:/ Overseas Medal, National Defence Medal
+* Education
+
+*** University of Oxford: [[https://www.ox.ac.uk/admissions/graduate/courses/msc-statistical-science][MSc in Statistical Science]]
+    2017-2018
+
+    - Applied and computational statistics, statistical machine learning and statistical inference
+
+*** [[https://www.polytechnique.edu/][École polytechnique]]
+    2014-2017
+
+    - Majors in Applied Mathematics and Data Science, Computer Science, and Physics
+    - /Distinctions:/ Outstanding Investment, Outstanding Leadership
+
+*** Lycée Privé Sainte-Geneviève, Versailles: Preparatory classes to French *Grandes Écoles*
+    2012-2014
+
+    - Majors in Mathematics and Physics
+
+* Scientific projects
+*** Topological Data Analysis of time-dependent networks
+    2018
+
+    - Master's thesis, joint work with Oxford's Department of Statistics and Mathematical Institute
+    - Application of the recent advances in Topological Data Analysis (TDA) and Persistent Homology to periodicity detection in temporal networks
+    - [[./files/tdanetworks.pdf][Dissertation]]
+
+*** Research work on Community Detection in Social Networks
+    2016-2017
+
+    - Comparison of the performance of state-of-the-art algorithms (theory and implementations)
+    - Application to large-scale, real-world social networks
+    - [[./files/communitydetection.pdf][Dissertation (PDF, in French)]] and [[https://dlozeve.github.io/reveal_CommunityDetection/][slides]]
+
+*** SERB X-CubeSat II program: a nano-satellite dedicated to Sun-Earth relationship
+    2015-2016
+
+    - Solar Irradiance and Earth Radiation Budget: Payload preliminary design
+    - Co-authored [[http://dx.doi.org/10.1117/12.2222660][SPIE Proceedings article]] on the project’s technical specifications
+    - [[./files/serb.pdf][Dissertation (PDF, in French)]]
+
+*** Research work on Markov Chains and Queuing Theory
+    2013-2014
+
+    - Study on the convergence of queues through algebra and numerical simulations
+    - [[./files/filesdattente.pdf][Dissertation (PDF, in French)]]
+
+* Languages and skills
+
+*** Computer science
+
+    *Python:*
+
+    - Numerical computing: [[http://www.numpy.org/][Numpy]], [[https://www.scipy.org/][Scipy]]
+    - Data analysis: [[https://pandas.pydata.org/][Pandas]]
+    - Machine Learning: [[http://scikit-learn.org/][Scikit-Learn]]
+    - Deep Learning: [[https://www.tensorflow.org/][TensorFlow]], [[http://pytorch.org/][PyTorch]]
+    - Network analysis: [[https://networkx.github.io/][NetworkX]], [[https://graph-tool.skewed.de/][graph-tool]]
+    - Research projects and hackathons: [[https://github.com/dlozeve/community-detection][community detection]] and [[https://github.com/dlozeve/DocAssist][DocAssist]]
+     
+    *R:*
+
+    - Statistical modelling and inference (generalised linear models, bayesian analysis)
+    - Data analysis: [[https://www.tidyverse.org/][Tidyverse]]
+    - Network analysis: [[http://igraph.org/][igraph]]
+
+    *C, Java:* Embedded and [[https://github.com/dlozeve/Satrap][network]] programming, [[https://github.com/dlozeve/topological-persistence][scientific computing]]
+
+    *SQL:* Basics
+
+    *Haskell, Lisp (Scheme):* Hobby projects ([[https://github.com/dlozeve/orbit][N-body simulation]], [[https://github.com/dlozeve/Civilisation-hs][SAT solver]], [[https://github.com/dlozeve/aoc2017][Advent of Code 2017]])
+
+    *Software:* Git, GNU/Linux, LaTeX, [[https://aws.amazon.com/][Amazon AWS]], [[https://www.mongodb.com/][MongoDB]], [[https://www.wolfram.com/mathematica/][Wolfram Mathematica]], Microsoft Office
+
+    See also [[./skills.html][a complete list of my skills in Statistics, Data Science and Machine Learning]].
+
+*** Languages
+
+    - French
+    - English
+    - Basic German
+
+*** Sports
+
+    - Fencing :: vice-president of the 2016 [[http://x-systra.com/][X-SYSTRA International Fencing Challenge]]; 29th in the 2016 sabre French Student Championships
+    - Scuba-diving :: CMAS * * *, 170+ dives

index.html

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+---
+title: Home
+---
+
+<h2>Welcome</h2>
+
+<img src="/images/haskell-logo.png" style="float: right; margin: 10px;" />
+
+<p>Hi! I am a Data Scientist
+  at <a href="https://www.destygo.com/">Destygo</a>, working on making
+  chatbots smarter through Machine Learning.</p>
+
+<p>During my free time, I love tinkering with functional programming
+  languages for scientific simulations and with embedded development
+  and electronics.</p>
+
+<a href="/cv.html">See my full CV.</a>
+
+<h2>Recent Posts</h2>
+$partial("templates/post-list.html")$
+
+<p>Find more in the <a href="/archive.html">archives</a>.</p>

newblog.cabal

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+name:               newblog
+version:            0.1.0.0
+build-type:         Simple
+cabal-version:      >= 1.10
+
+executable site
+  main-is:          site.hs
+  build-depends:    base == 4.*
+                  , pandoc == 2.*
+                  , hakyll == 4.12.*
+  ghc-options:      -threaded
+  default-language: Haskell2010

site.hs

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+--------------------------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+import           Data.Monoid (mappend)
+
+import           Text.Pandoc.Options
+import           Text.Pandoc.Highlighting
+
+import           Hakyll
+
+
+--------------------------------------------------------------------------------
+main :: IO ()
+main = hakyll $ do
+  match "images/*" $ do
+    route   idRoute
+    compile copyFileCompiler
+
+  match "files/*" $ do
+    route   idRoute
+    compile copyFileCompiler
+
+  match "css/*" $ do
+    route   idRoute
+    compile compressCssCompiler
+
+  match (fromList ["contact.org", "cv.org", "skills.org", "projects.org"]) $ do
+    route $ setExtension "html"
+    compile $ customPandocCompiler
+      >>= loadAndApplyTemplate "templates/default.html" defaultContext
+      >>= relativizeUrls
+
+  match "posts/*" $ do
+    route $ setExtension "html"
+    compile $ customPandocCompiler
+      >>= loadAndApplyTemplate "templates/post.html"    postCtx
+      >>= loadAndApplyTemplate "templates/default.html" postCtx
+      >>= relativizeUrls
+
+  create ["archive.html"] $ do
+    route idRoute
+    compile $ do
+      posts <- recentFirst =<< loadAll "posts/*"
+      let archiveCtx =
+            listField "posts" postCtx (return posts) `mappend`
+            constField "title" "Archives"            `mappend`
+            defaultContext
+      makeItem ""
+        >>= loadAndApplyTemplate "templates/archive.html" archiveCtx
+        >>= loadAndApplyTemplate "templates/default.html" archiveCtx
+        >>= relativizeUrls
+
+
+  match "index.html" $ do
+    route idRoute
+    compile $ do
+      posts <- recentFirst =<< loadAll "posts/*"
+      let indexCtx =
+            listField "posts" postCtx (return posts) `mappend`
+            defaultContext
+      getResourceBody
+        >>= applyAsTemplate indexCtx
+        >>= loadAndApplyTemplate "templates/default.html" indexCtx
+        >>= relativizeUrls
+
+  match "templates/*" $ compile templateBodyCompiler
+
+
+--------------------------------------------------------------------------------
+postCtx :: Context String
+postCtx =
+  dateField "date" "%B %e, %Y" `mappend`
+  defaultContext
+
+customPandocCompiler :: Compiler (Item String)
+customPandocCompiler =
+  let customExtensions = extensionsFromList [Ext_latex_macros]
+      defaultExtensions = writerExtensions defaultHakyllWriterOptions
+      newExtensions = defaultExtensions `mappend` customExtensions
+      writerOptions = defaultHakyllWriterOptions
+        { writerExtensions = newExtensions
+        , writerHTMLMathMethod = MathML
+        }
+  in pandocCompilerWith defaultHakyllReaderOptions writerOptions

skills.org

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+---
+title: "Skills in Statistics, Data Science and Machine Learning"
+---
+
+
+* Statistics
+
+  - Knowledge of Linear Models and Generalised Linear Models
+    (including logistic regression), both in theory and in
+    applications
+  - Classical Statistical inference (maximum likelihood estimation,
+    method of moments, minimal variance unbiased estimators) and
+    testing (including goodness of fit)
+  - Nonparametric statistics
+  - Bootstrap methods, hidden Markov models
+  - Knowledge of Bayesian Analysis techniques for inference and
+    testing: Markov Chain Monte Carlo, Approximate Bayesian
+    Computation, Reversible Jump MCMC
+  - Good knowledge of R for statistical modelling and plotting
+
+* Data Analysis
+
+  - Experience with large datasets, for classification and regression
+  - Descriptive statistics, plotting (with dimensionality reduction)
+  - Data cleaning and formatting
+  - Experience with unstructured data coming directly from embedded
+    sensors to a microcontroller
+  - Experience with large graph and network data
+  - Experience with live data from APIs
+  - Data analysis with Pandas, xarray (Python) and the tidyverse (R)
+  - Basic knowledge of SQL
+
+* Graph and Network Analysis
+
+  - Research project on community detection and graph clustering
+    (theory and implementation)
+  - Research project on Topological Data Analysis for time-dependent
+    networks
+  - Random graph models
+  - Estimation in networks (Stein's method for Normal and Poisson
+    estimation)
+  - Network Analysis with NetworkX, graph-tool (Python) and igraph (R
+    and Python)
+
+* Time Series Analysis
+
+  - experience in analysing inertial sensors data (accelerometer,
+    gyroscope, magnetometer), both in real-time and in post-processing
+  - use of statistical method for step detection, gait detection, and
+    trajectory reconstruction
+  - Kalman filtering, Fourier and wavelet analysis
+  - Machine Learning methods applied to time series (decision trees,
+    SVMs and Recurrent Neural Networks in particular)
+  - Experience with signal processing functions in Numpy and Scipy
+    (Python)
+
+* Machine Learning
+
+  - Experience in Dimensionality Reduction (PCA, MDS, Kernel PCA,
+    Isomap, spectral clustering)
+  - Experience with the most common methods and techniques
+  - Random forests, SVMs, Neural Networks (including CNNs and RNNs),
+    both theoretical knowledge and practical experience
+  - Bagging and boosting estimators
+  - Cross-validation
+  - Kernel methods, reproducing kernel Hilbert spaces, collaborative
+    filtering, variational Bayes, Gaussian processes
+  - Machine Learning libraries: Scikit-Learn, PyTorch, TensorFlow,
+    Keras
+
+* Simulation
+
+  - Inversion, Transformation, Rejection, and Importance sampling
+  - Gibbs sampling
+  - Metropolis-Hastings
+  - Reversible jump MCMC
+  - Hidden Markov Models and Sequential Monte Carlo Methods

stack.yaml

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+# This file was automatically generated by 'stack init'
+#
+# Some commonly used options have been documented as comments in this file.
+# For advanced use and comprehensive documentation of the format, please see:
+# https://docs.haskellstack.org/en/stable/yaml_configuration/
+
+# Resolver to choose a 'specific' stackage snapshot or a compiler version.
+# A snapshot resolver dictates the compiler version and the set of packages
+# to be used for project dependencies. For example:
+#
+# resolver: lts-3.5
+# resolver: nightly-2015-09-21
+# resolver: ghc-7.10.2
+#
+# The location of a snapshot can be provided as a file or url. Stack assumes
+# a snapshot provided as a file might change, whereas a url resource does not.
+#
+# resolver: ./custom-snapshot.yaml
+# resolver: https://example.com/snapshots/2018-01-01.yaml
+resolver: lts-12.18
+
+# User packages to be built.
+# Various formats can be used as shown in the example below.
+#
+# packages:
+# - some-directory
+# - https://example.com/foo/bar/baz-0.0.2.tar.gz
+# - location:
+#    git: https://github.com/commercialhaskell/stack.git
+#    commit: e7b331f14bcffb8367cd58fbfc8b40ec7642100a
+# - location: https://github.com/commercialhaskell/stack/commit/e7b331f14bcffb8367cd58fbfc8b40ec7642100a
+#  subdirs:
+#  - auto-update
+#  - wai
+packages:
+- .
+# Dependency packages to be pulled from upstream that are not in the resolver
+# using the same syntax as the packages field.
+# (e.g., acme-missiles-0.3)
+# extra-deps: []
+
+# Override default flag values for local packages and extra-deps
+# flags: {}
+
+# Extra package databases containing global packages
+# extra-package-dbs: []
+
+# Control whether we use the GHC we find on the path
+# system-ghc: true
+#
+# Require a specific version of stack, using version ranges
+# require-stack-version: -any # Default
+# require-stack-version: ">=1.9"
+#
+# Override the architecture used by stack, especially useful on Windows
+# arch: i386
+# arch: x86_64
+#
+# Extra directories used by stack for building
+# extra-include-dirs: [/path/to/dir]
+# extra-lib-dirs: [/path/to/dir]
+#
+# Allow a newer minor version of GHC than the snapshot specifies
+# compiler-check: newer-minor

templates/archive.html

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+Here you can find all my previous posts:
+$partial("templates/post-list.html")$

templates/default.html

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+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <meta http-equiv="x-ua-compatible" content="ie=edge">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+    <title>Dimitri Lozeve - $title$</title>
+    <link rel="stylesheet" href="/css/default.css" />
+  </head>
+  <body>
+    <header>
+      <div class="logo">
+        <a href="/">Dimitri Lozeve</a>
+      </div>
+      <nav>
+        <a href="/">Home</a>
+        <a href="/contact.html">Contact</a>
+        <a href="/archive.html">Archive</a>
+      </nav>
+    </header>
+
+    <main role="main">
+      <h1>$title$</h1>
+      $body$
+    </main>
+
+    <footer>
+      Site proudly generated by
+      <a href="http://jaspervdj.be/hakyll">Hakyll</a>
+    </footer>
+  </body>
+</html>

templates/post-list.html

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+<ul>
+    $for(posts)$
+        <li>
+            <a href="$url$">$title$</a> - $date$
+        </li>
+    $endfor$
+</ul>

templates/post.html

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+<article>
+    <section class="header">
+        Posted on $date$
+        $if(author)$
+            by $author$
+        $endif$
+    </section>
+    <section>
+        $body$
+    </section>
+</article>