Webinar:

From data overload to decision clarity in drug discovery

November 12, Tuesday

5pm CET/ 11am ET

Do you struggle with endless Excel files that are slow, far too complicated and don't integrate well with other digital solutions?

Do you need to make tens of informed decisions each day, but get far too little support from the data you already have?

Do you need to wait for your bioinformatics reports that are hard to interpret and slows down your program development?

Reserve Your Spot Today!

What will you gain from this webinar?

Available tools landscape: Learn how your research team can focus on drug development using high quality AI and data tools.

You can address 10x more of your scientific questions with 10x less experiments, by expanding your toolkit with AI-driven and computational analytics

Data Ingestion and Management: Understand how the variety of externally available and your in-house data sources can work together to generate insights.

You can reduce the the cost-per-use of your data by enabling its use across multiple projects with FAIR principles.

Real life Use Cases: Experience how companies from small biotech to big pharmas can cut the data struggle with a proper toolkit.

You can focus on breaking new scientific ground while we manage and optimize your developments, ensuring nothing is left behind.

Meet our speakers:

Jan Majta

Tribe Leader, Senior Bioinformatician

Jan took part in over 50 projects for companies from biotech start-ups up to top pharma players, leading teams of bioinformaticians, software engineers and AI developers.

Using his background in both biotechnology and bioinformatics his focus is on providing the most suitable solution for Aridgen's customers aiding their drug discovery and development processes.

Błażej Szczerba

Associate Director of Software Engineering

Błażej Szczerba joined Ardigen in 2019 and has since focused on bridging the gap between software engineering and life sciences. His focus is on creating bioinformatics workflows, data pipelines, and data management systems tailored to both clinical and research environments.

He has successfully led multiple projects aimed at optimizing data processing and analysis, ensuring that the software solutions effectively address the specific needs of the biotech and pharmaceutical sectors.