Accelerating R&D by harnessing the power of AI and MLOps

If you ask Volodimir Olexiouk about BioLizard’s Data Analytics & AI team, of which he is the team lead, he’ll tell you that they are a diverse mix. Their expertises range from single cell analytics and clinical statistics, to deep learning, natural language processing, and mathematics. Taken together, these diverse skills and backgrounds allow the Data Analytics & AI team to efficiently tackle complex projects in modelling, artificial intelligence, and machine learning operations (MLOps).?

Just like the backgrounds of the team members, the projects that the Data Analytics & AI team take on are highly varied, and include applications ranging from single cell data analytics and multi-omics, all the way to protein engineering and design and biomarker discovery. Across these different applications, Volodimir knows from experience that using state-of-the-art technologies like AI and MLOps can make companies much more data driven, and accelerate the speed of their research and development activities. And, in his own words, “That’s one of the key competitive advantages that a company can gain!”?

Indeed, one of the main drivers of the Data Analytics & AI team is to solve complex biological data problems, and transform that data into value for their clients. They strive to provide strategic insights for projects involving the use of AI and MLOps, by first understanding the needs and requests of their clients, and then translating those into clear solutions. “The beautiful aspect of it is that as a bonus, we participate in improving healthcare and science,” says Volodimir. “We’ve already generated massive value for our clients from data… [and] we aim to become a globally recognized team that transforms data into value through innovative solutions.”

One thing that nearly all of the projects that the Data Analytics & AI team is involved in have in common, is that they combine a mixture of different aspects of bioinformatics, software and AI. This means that the Data Analytics & AI team rarely works alone.?

“We collaborate greatly within and across teams, as projects often have multiple aspects and therefore need distinct expertise,” explains Volodimir. “For example, when a performant AI model needs to be put in production, expertise from the Software & IT Architecture Team is required to devise an professional, production ready solution. Therefore, when you work with BioLizard, you don’t work with one particular expert or team, but work with the whole panel of experts at BioLizard, [and their] collective knowledge and expertise is at your disposal.”

Do you want to collaborate with BioLizard to start applying state-of-the-art analytics and make the most of your data? Reach out to us today to start discussing what we can do together.