The Lobo Lab

Computational & Systems Biology

At the Lobo Lab we are interested in understanding, controlling, and designing the dynamic regulatory mechanisms that direct complex biological processes. We develop new computational systems that can generate models, hypothesis, and theory from experimental data — automatically. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.


- Caroline is interviewed and named UMBC Researcher of the Week! Congratulations!

- Abraar, Caroline, and Junaid present posters at the 19th Annual Undergraduate Research Symposium in the Chemical and Biological Sciences at UMBC. Congratulations to Caroline for winning the second place award!

- Caroline has been selected as a MARC U*STAR Scholar, to be mentored in our lab. This NIH funded program prepares undergraduates for research careers. Congratulations Caroline!

Computational AI methods

Computational Methods

We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.

Planarian worms simulation

Systems Biology

We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.


Knowledge Representation

We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.

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Development and Regeneration

We study how shapes and patterns are form from a single cell during development and restored through regeneration.

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Cancer and other Diseases

We seek to understand why and how regulatory mechanism go awry to produce cancer and other diseases.

Regulatory network

Synthetic Biology

We design novel regulatory networks with desired dynamics and useful behaviors and functions to solve specific bioengineering problems.