BioTeam Presentations at Bio-IT World Conference and Expo – April 2-4, 2025, Boston

Reimagining Data Commons, Lakes, and Warehouses in Life Sciences

 April 3, 2025 at 02:30 PM

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Michelle Bayly, PhD, Principal

Karl Gutwin

Karl Gutwin, PhD, Principal Consultant, Software Engineering Services

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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

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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

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Ari E. Berman, PhD, CEO

Since 2010, “Trends from the Trenches” has been a cornerstone of the Bio-IT program, delivering candid and occasionally blunt assessments of the most impactful and overhyped IT technologies in life sciences. This talk will provide a deep dive into computing, storage, cloud, data science, machine learning, and more, with a focus on supporting data-intensive science. Looking ahead, this talk will share forward-thinking predictions about emerging technologies and trends poised to shape the future of life sciences innovation, offering actionable insights for navigating the next wave of IT evolution.

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