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timeipert/README.md

Hi there, I'm Tim 👋

Computational Humanities | PhD Candidate at Universität Würzburg

Research Assistant at Corpus monodicum

WebsiteGoogle ScholarEmail


About Me

I am a researcher and developer specializing in the (statistical) analysis of cultural data. My work combines historical research with computational methods to analyze the cultural transmission, specifically the transmission of medieval music.

Core Competencies:

  • Data Science: Bayesian Inference, Network Analysis, Statistical Modeling.
  • Software Development: Python (Package Development), Data Processing, XML/MEI standards.
  • Domain: MA degree in musicology and interested in all humanities & social sciences.

Languages & Tools

Python JavaScript R MEI


Current Research & Projects

Bayesian Phylogenetic Modeling

Statistical Modeling / Cultural Evolution
Application of biological evolution models to musical data. I use a Bayesian model to reconstruct the transmission trees of medieval melodies based on their variations.

Keywords: Bayesian Inference, MCMC, Python

Bayesian Phylogenetic Modeling Graph

Community Inference in Networks

Complex Network Analysis
Structural analysis of manuscript connections. I use Nested Stochastic Block Models (nSBM) and Minimum Description Length optimization to detect latent communities in the transmission network of medieval chants.

Keywords: Network Analysis, Clustering, Stochastic Block Models, Python

Network Modeling Graph

Jazz Harmony Analysis

Corpus Study / Data Statistics
Quantitative analysis of the Weimar Jazz Database. Investigated the correlation between improvised scales and chord progressions to measure adherence to chord-scale theory.

Keywords: Data Analysis, Statistics, Pandas, Music Theory

Jazz Harmony Graph

MonodiKit

Python Library Development
An open-source Python package for the Corpus monodicum. It provides an API for fetching data, cleaning datasets, and converting custom data formats into the standardized MEI (Music Encoding Initiative) XML format.

Keywords: Python Package, API, XML Processing, Extraction-Transformation-Load (ETL)

MonodiKit Logo

How to reach me

Pinned Loading

  1. digital-landscape-of-chant digital-landscape-of-chant Public

    A List with Resources for Digital Corpus Analysis of Medieval Chant

    1

  2. MonodiKit MonodiKit Public

    Python Interface to Corpus monodicum

    Python 1

  3. ChantSynopsis ChantSynopsis Public

    A simple tool for visualising variants of two melodies.

  4. chantdigger-restored chantdigger-restored Public

    Eine aufbereitete Version der vier Teilkorpora einstimmiger mittelalterlicher Gesänge von Max Haas: http://oralhistoryofchant.ch

    JavaScript 1

  5. adiastematic_search adiastematic_search Public

    A search tool for melodies written in a special medieval notation.

    Python

  6. visualize_musicdiffs visualize_musicdiffs Public

    A comparison tool for variants in musical scores

    JavaScript