Jacob Czech to Present on Architecting Reproducible AI Workflows in the Cloud using Terraform, Docker, and AWS HealthOmics
BioTeam is excited to announce that Jacob Czech, Senior Scientific Consultant, will present at Bioconductor 2026, one of the leading conferences for open source software and computational methods in bioinformatics.
Jacob’s presentation, Architecting Reproducible AI Workflows in the Cloud using Terraform, Docker, and AWS HealthOmics, will explore practical approaches for designing cloud native infrastructure that enables scalable, reproducible AI workflows for computational biology. As organizations continue to adopt artificial intelligence across the life sciences, the ability to deploy, automate, and reproduce complex computational pipelines has become just as important as the AI models themselves.
Using a real world protein structure prediction workflow built with SimpleFold, a transformer based model developed using Apple’s MLX framework, Jacob will demonstrate how modern cloud technologies can simplify the deployment and orchestration of compute intensive scientific workflows. The presentation focuses on infrastructure strategies that help research organizations reduce operational complexity while improving scalability, reproducibility, and collaboration.
Attendees will learn how containerized Docker workflows, infrastructure as code with Terraform, and AWS HealthOmics work together to create flexible environments capable of supporting modern computational biology pipelines. Rather than managing clusters manually, researchers can leverage managed cloud services to automate infrastructure deployment, improve reproducibility, and accelerate scientific discovery.
What the Session Will Cover
The presentation will explore several key topics, including:
- Building reproducible AI workflows for computational biology
- Automating cloud infrastructure using Terraform
- Packaging complex software dependencies with Docker
- Orchestrating scalable bioinformatics pipelines using AWS HealthOmics
- Supporting protein structure prediction and other compute intensive workloads
- Designing cloud environments that improve reproducibility, scalability, and operational efficiency
Why It Matters
Artificial intelligence is changing how life science organizations approach research, but successful AI initiatives depend on more than powerful models. They require infrastructure that is reliable, scalable, and repeatable.
Many organizations struggle with inconsistent computing environments, manual deployment processes, and challenges reproducing scientific analyses across teams. By combining infrastructure as code, containerized workflows, and managed cloud orchestration services, organizations can create environments that are easier to maintain, easier to scale, and better suited for collaborative scientific research.
Jacob’s session highlights practical approaches that research organizations can use today to build modern cloud platforms capable of supporting advanced computational biology and AI workloads.
Event Details
Conference
Bioconductor 2026
Presentation
Architecting Reproducible AI Workflows in the Cloud using Terraform, Docker, and AWS HealthOmics
Speaker
Jacob Czech
Senior Scientific Consultant, BioTeam
Date
Monday, August 10
Time
11:00 AM to 12:15 PM
About BioTeam
BioTeam partners with life science organizations to design, build, and optimize the technology environments that power modern scientific discovery. From cloud architecture and scientific computing to bioinformatics, FAIR data, artificial intelligence, and research infrastructure, our consultants help organizations accelerate research while building scalable, reproducible, and secure technology foundations.
If you are attending Bioconductor 2026, we invite you to join Jacob’s presentation and connect with the BioTeam team to discuss cloud native bioinformatics infrastructure, AI readiness, and reproducible computational workflows.
