Visit us at Booth #408 and attend BioTeam presentations in the Data Management Track.
Contact us to set a time to meet.
Reimagining Data Commons, Lakes, and Warehouses in Life Sciences
April 3, 2025 at 02:30 PM

Michelle Bayly, PhD, Principal

Karl Gutwin, PhD, Principal Consultant, Software Engineering Services

Nicholas George, PhD, Senior Scientific Consultant
Scientific organizations have long needed a space to house different types of research data and manage interoperability and accessibility across an organization. With the rise of Al/ML, it is more imperative than ever that data be organized and annotated in a way that allows it to be FAIR (Findable, Accessible, Interoperable, and Reusable). Join us as we discuss key principles around designing a robust, scalable system to meet these growing needs and a new vision for scientific data platforms.
The Biologist Explores Learning: Insights on LLMs, Deep Learning, and Personal Discoveries
April 4, 2025 at 03:05 PM

Brian Osborne, PhD, Senior Principal Consultant
Our developers and scientists have created a new specialty within BioTeam for biomedical research, dedicated to ML and AI. We have been working with research laboratories and have created custom codebases for image registration, image quantification, image segmentation, and image classification. We have used open source libraries to create novel tools for biological sequence classification and annotation using Deep Learning, in order to study uncharacterized genes and proteins, where we also use established ML approaches such as Hidden Markov Models. We are also building workflows for analysis of signal processing data and biomedical analytics using convolutional and recurrent Neural Networks.
Trends from the Trenches
April 4, 2025 at 03:35 PM
