Volodimir Olexiouk, our Director of Scientific Engagement and Data Science Team Lead, was featured in episode 70 of Domino Data Lab‘s Data Science Leaders podcast.
In this episode, host Kjell Carlsson speaks with Volodimir about best practices for overcoming the data challenges for AI-driven drug discovery and combining scientific expertise with data science for augmented intelligence in the life sciences.
Listen to the whole episode now →
Want to learn more about how leveraging artificial intelligence can support your research & development activities? Check out our white paper about how you can use machine learning to develop better biomarkers – a powerful tool for de-risking drug discovery projects.
Oncology drug development often begins in patients, allowing early safety and efficacy insights. Yet many cancer drugs still fail in the clinic. We validate the target but ignore its context within the tumor microenvironment. This article explores why spatial biology may improve clinical success.
BioLizard has been named “Bioinformatics Innovation of the Year” in the 2025 BioTech Breakthrough Awards. The honor spotlights Bio|Verse® Navigator, a visual analytics workspace that unifies complex R&D data so scientists can decide faster, with confidence.
Bioinformatics pipelines break for the smallest reasons: package updates, shifting dependencies, or “it only works on my machine.” This post explains why experienced software engineers and DevOps practices (Git, CI/CD, IaC) are essential to keep workflows reproducible, stable, and scalable.
