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Genetic science research

School of Systems Biology provides a research and educational environment that allows integration of the various areas of molecular and cellular biosciences from a systems perspective.

Systems biology focuses on understanding the structure and function of biological systems on multiple levels — from molecules to organisms — through data obtained using theoretical, experimental, and computational methodologies.

SSB2

Visit Us On Campus

SciTech Campus, Colgan Hall 312
10900 University Blvd, MSN 5B3, Manassas, VA 20110
Phone: 703-993-8400
 

ColganHall

School of Systems Biology Congratulates the Spring 2026 PhD Graduates

Kushal Baraily

PhD in Biosciences

“Disruption of Pseudomonas aeruginosa Biofilm with Glycoside Hydrolase Loaded Self-Propelled DNA Nanoparticles”

Advisor: Monique van Hoek, PhD, School of Systems Biology

Grad

Why the School of Systems Biology?

9

Number of degree programs offered by SSB to graduate students.

15

Average SSB Class Size

1st

Our PhD program was the first formal PhD program in Bioinformatics in the world

School of Systems Biology News & Events

Upcoming Events

More Events
May5

SSB Awards Ceremony

May 5, 2026, 11:00 AM - 12:30 PM

SSB Awards Ceremony Tuesday, May 5, 2026, 11-12:30pm
May11

15th Annual College of Science Undergraduate Research Colloquium

May 11, 2026, 2:00 - 4:00 PM

Dewberry Hall, Johnson Center, Fairfax Campus

The College of Science and STEM Accelerator are pleased to welcome you to the 15th Annual Undergraduate Research Colloquium (URC). The purpose of this event is to showcase the variety of undergraduate research projects in the College to the Mason community. All students engaged in undergraduate research at any level
May19

Attn faculty: Strengthen Learning in Your STEM Courses

May 19, 2026, 10:00 AM - 2:00 PM

Innovation Hall Rm 427

Join fellow science faculty for the STEM Education Retreat, a focused, in‑person workshop STEM for All: Applying Universal Design for Learning (UDL) in Your Courses. This session is designed for STEM instructors who want to improve student learning and engagement using a framework which anticipates learner variability so you can

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