Back

Reto

Krummenacher

Since November 2024, I am a research assistant in the High Performance Computing (HPC) group and a Ph.D. student in the PhD Program Data Science at the University of Basel. I am working on improving scheduling in HPC systems using machine learning. I am also responsible for the μ-Cluster.In 2024, I received my M.Sc. degree from the University of Basel in Computer Science, with a major in Machine Intelligence. My master’s thesis focused on improving the performance of the genomic context analysis tool GCsnap.I received my Bachelor’s degree from the University of Basel in 2022. My bachelor thesis was on benchmarking DAPHNE, an integrated data analysis pipeline for large-scale data management, HPC, and machine learning.Before diving into computer science, I earned an M.Sc. in Business and Economics and worked as a regional economic forecaster.

Session Chair

This person is not chairing any sessions.

Presenter

Paper
Monday, June 16, 2025
17:00
-
17:30
CEST
Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters

Author

Paper
Monday, June 16, 2025
17:00
-
17:30
CEST
Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters

Poster

P38 - Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters

Tuesday, June 27, 2023 19:30
Climate, Weather and Earth Sciences
Chemistry and Materials
Computer Science, Machine Learning, and Applied Mathematics
Applied Social Sciences and Humanities
Engineering
Life Sciences
Physics
With
Reto Krummenacher and Osman Seckin Simsek (University of Basel); Michèle Leemann, Leila T. Alexander, and Torsten Schwede (University of Basel, Swiss Institute of Bioinformatics); Florina M. Ciorba (University of Basel); and Joana Pereira (University of Basel, Swiss Institute of Bioinformatics)