Hi there 👋, I'm Tim. I'm a research assistant at Corpus monodicum and am currently working on my doctoral thesis on Chant in the Medieval Ages from a statistical point of view. I am also interested in web development and machine learning.
I am currently working on:
- A Bayesian Phylogenetic Model for a Collection of Medieval Chant Variants to Explore Different Historical Traces of Chants.
- A Paper about Network Modeling of the Transmission of Trope Elements
- A Paper on determining played scales and their relationship to chords in jazz music (Corpus study derived from the Weimar Jazz Database)
- MonodiKit, an interface that simplifies using Corpus monodicum data for digital corpus studies. Additionally, it serves as a conversion interface, enabling the transformation of the data into standardized formats such as MEI.
My academic profile: Tim Eipert – Universität Würzburg
Email: [email protected]
-
PyMC3 and
-
Python for everything with ML
-
Pandas for data handling.
-
Puppeteer for data scraping.
-
Keras/Tensorflow and
-
Scipy for machine learning.
-
Typescript for everything web-related
-
Angular and
-
Vue for efficiently building web user interfaces.
- I am working on a better understanding of Bayesian Modeling and Causal Inference as a means to describe a model of transmitted medieval chant.