Scientific Support

Need help with Machine Learning in your research?

Introduction

Machine learning provides a powerful framework for predictive modeling in scientific research:

Infer outcomes from complex datasets using classification and regression models
Evaluate and improve models based on predictive performance
Use exploratory techniques to better understand and prepare your data

At DCSR, we support researchers in several key areas of machine learning:

Training

We help you understand how specific machine learning methods work and how to apply them in your research. We also offers short introductory courses on machine learning; see ML courses.

Methodology

We assist you in selecting and applying appropriate machine learning methods for your research.

This may include:

A pilot phase, where we collaboratively develop and test code on your laptop or UNIL clusters
A production phase, where we help scale and refine your workflow

More specifically, we can:

Identify existing tools suited to your analysis
Help install and run them on your laptop or UNIL clusters
Explain key parameters and settings
Develop custom algorithms and code if no suitable tools exist

Infrastructure

We help you efficiently run your machine learning workflows on UNIL clusters.

This includes:

Installing and configuring your code
Profiling performance to optimize resource usage (RAM, CPUs/GPUs, number of nodes)

Collaboration at UNIL

We can connect you with relevant experts at UNIL to discuss specific machine learning challenges.

Example Use Cases:

Experimental scientist
Wants to analyze data using machine learning on a laptop or UNIL clusters.
→ We help identify suitable tools, explain how they work, and support their use.
Data scientist (setup phase)
Wants to implement a machine learning pipeline but is unsure how to proceed.
→ We help select and apply appropriate methods.
Data scientist (review phase)
Has implemented a pipeline and wants feedback.
→ We review the methodology and suggest improvements or alternatives.
Scaling from laptop to cluster
Wants to move a pipeline from a local machine to UNIL clusters.
→ We assist with deployment, software setup, and performance optimization.

Contact

You can reach us at helpdesk@unil.ch with subject: DCSR ML support