Training

Training Schools

ML4Microbiome Training School 2023 – Machine Learning approaches & methods for the analysis of microbiome data – 6-8 March 2023,  Utrecht (The Netherlands),  University campus of Utrecht University, the Uithof. Training material is available on-demand for members and school attendants on  Google Drive. To get access, please, contact Aldert Zomer & Domenica D’Elia via e-mail.

Group Picture

                             Group picture of Trainers and trainees

ML4Microbiome Training School 2022 – Machine Learning approaches & methods for the analysis of microbiome data – 5-7 October 2022. Training material is available on-demand for members and school attendants on  Google Drive. To get access, please, contact Aldert Zomer & Domenica D’Elia via e-mail.

Group picture

                            Group picture of trainers and trainees

 

ML4Microbiome Training School 2021 –  Machine Learning approaches & methods for the analysis of microbiome data – 27th and 28th of September and the 4th, 7th and 8th of October 2021. The School was run virtually. Training material is available on-demand for members and school attendants on  Google Drive. To get access, please, contact Aldert Zomer & Domenica D’Elia via e-mail.

 

ML4Microbiome Training School 2019 –  Machine Learning approaches & methods for the analysis of microbiome data – 2-4 September 2019, Computer Science and Engineering Department of the International University of Sarajevo. Training material is available on-demand for members. To get access, please, contact Aldert Zomer & Domenica D’Elia via e-mail.

Group picture of participants at the 1st ML4Microbiome Training School in SaraJevo

                             Group picture of trainers and trainees

Master Thesis

Project title: Investigation of interactions between dietary compounds, lifestyle and gut microbiota with a precision and personalized nutrition perspective. Master in Bioinformatics and Computational Biology Universidad Autónoma de Madrid. Student: Victor Manuel López Molina. Date of reading: 01/03/2023

 

Awarded prize for best Bioinformatics Final Master Thesis of the IV Dathaton of the University of Granada

Project title: Aplicación de métodos bioinformáticos para la estratificación de individuos con obesidad e identificación de biomarcadores de susceptibilidad a cáncer mediante el estudio del microbioma intestinal. Master in Bioinformatics and Computational Biology Universidad Autónoma de Madrid. Student: Blanca Lacruz Pleguezuelos. Date of reading: 04/03/

YouTube PlayLists

 

 

 

 

 

 

ML4Microbiome Workshop 2021 – YouTube Playlist

 

 

ML4Microbiome Symposium 2021 – YouTube PlayList