Online Workshop on Machine Learning for Microbial Genomics at ECML-PKDD: Program and registration

[Flora Jay]

Dear all

We are happy to share the final program of our workshop on Machine Learning for Microbial Genomics at ECML-PKDD22. It will be held online on Friday, September 23rd from 10:15am to 1:45pm (CET).
Note that you need to register to the ECML-PKDD conference (online rate) and that you will be able to follow the whole conference week (September 19th-23rd)  by visioconference.

Workshop program: https://mlmg2022.github.io/program/
Registration and main conference website: https://2022.ecmlpkdd.org/index.php/registration/

9:00  -  10:00    ECMLPKDD Keynote: Yann LeCun

10:15 - 13:45  Workshop Machine Learning for Microbial Genomics

Keynote: Alice McHardy  "Computational inference of microbial genotype-phenotype relationships"
Talk #1: Gabriel Carvalho et al.  "Predicting antimicrobial resistance genes from phenotypic resistance profiles: a proof-of-concept study"
Talk #2: Ulysse Guyet et al.  "ARSENAL: Antimicrobial ReSistance prEdictioN by mAchine Learning approach"
Talk #3: Niklas Stotzem et al.  "BenchmarkDR: A modular and expandable benchmarking pipeline for machine learning based antimicrobial resistance prediction"

Keynote: Nicole Wheeler  "Machine learning for predicting phenotype from genotype: how well do algorithms capture causal mechanisms?"
Talk #4: Jean Cury et al.  "Inferring effective population sizes of bacterial populations while accounting for unknown recombination and selection: a deep learning approach"
Talk #5: Sion Bayliss et al.  "Hierarchical machine learning predicts geographical origin of Salmonella within four minutes of sequencing"

Detailed schedule at https://mlmg2022.github.io/program/

Best

Meriem El Azami
Laurent Jacob
Flora Jay
Pierre Mahé