OUR SCIENCE

Three research groups.
One connected platform.

CAPCell brings AI, sensing, and bioprocess engineering together to advance cell manufacturing research.

Explore our research

Biomanufacturing   /   Sensing & imaging   /   AI & digital twins

A PBS-MINI benchtop bioreactor during cell culture

INTERDISCIPLINARY RESEARCH GROUP 01

Intelligent biomanufacturing processes

Developing scalable culture platforms for mesenchymal stem cells and their bioactive products. The group connects bioprocess engineering with sensing and AI to study culture conditions and improve process control.

Research lead: Dr. Camilo Mora
With Dr. Maribella Domenech

Cell culture · Bioprocess control · Microcarriers

Bright-field image of cells on collagen-coated microcarriers

INTERDISCIPLINARY RESEARCH GROUP 02

Sensing technologies for biomanufacturing

Using noninvasive imaging and sensing to study cells while they grow. Computer vision, digital staining, and multimodal data fusion bring complementary measurements together to predict cellular characteristics.

Research lead: Dr. Heidy Sierra
With Dr. Emmanuel Arzuaga, Dr. Michael Alvarez, Dr. Yahya Masalmah, and Prof. Alcides Alvear

Computer vision · Noninvasive sensing · Data fusion

GPU computing systems used in AI research

INTERDISCIPLINARY RESEARCH GROUP 03

AI tools for biomanufacturing

Developing physics-informed digital twins, language-model tools for scientific reasoning, and methods for checking AI recommendations. The group connects process data with models that support biomanufacturing decisions.

Research lead: Dr. Juan Patarroyo
With Dr. Manuel Rodriguez Martinez and Dr. Ubaldo Córdova-Figueroa

Digital twins · Language models · Safety constraints

CROSS-DISCIPLINARY INTEGRATION

A connected research cycle.

Each group contributes to a shared effort: understanding the culture, interpreting the data, and testing better ways to guide the bioprocess.

01

Culture

Study cells and bioactive products in the bioreactor.

02

Sense

Capture imaging, metabolic, and process measurements.

03

Model

Combine data with AI and mechanistic models.

04

Evaluate

Check predictions and recommendations against constraints.

05

Refine

Use experimental evidence to improve process decisions.

Bring a research question.

Explore collaborations at the intersection of AI and cell manufacturing.