CellTech Institute
Shaping the Future of Life Sciences with AI, Automation, and Enabling Technologies.
Mixed Reality in Workforce Training
FlowAR, our Augmented Reality tool, makes assembling continuous bioprocessing systems easier and more enjoyable than traditional methods—an innovation enhancing workforce training for the future.
360 Lab Virtual Tours
Immersive 360° Matterport tours bring research labs and biomanufacturing facilities to life, expanding access to training and collaboration worldwide.
Automating Workflows
From library prep to plasmid workflows, the Hamilton NGS STAR streamlines complex tasks into scalable, automated solutions.
About Us
CellTech Institute (CTI) integrates automated liquid handling, sequencing, analytical tools, and AI-driven data science to advance research, training, and collaboration. CTI connects students, academic researchers, and industry partners through scalable workflows in molecular and cellular systems, spanning gene expression, discovery, and translation.
Professor Robert Dempski leads CTI, developing automated workflows that integrate advanced analytics and experimental design to accelerate discovery and translation. His expertise spans molecular biophysics, transcriptomics, and laboratory automation, enabling scalable, high-throughput platforms for challenges in disease biology and therapeutic development. He has secured funding from federal, state, foundation, and industry sources, and provides national leadership through roles with NIIMBL and BioMADE, alongside institutional leadership at WPI.
CTI advances workforce development and education through the integration of emerging technologies, including AR/VR-enabled training and AI-driven learning environments. Training spans from high school students to industry professionals, supporting hands-on skill development in automation, data science, and modern life science techniques. The institute contributes to national conversations on education through presentations, partnerships, and funded workforce initiatives, preparing learners to operate at the intersection of biology, technology, and data in a rapidly evolving life sciences landscape.
Financial Support
We are grateful to the following organizations for financial support
