Biotechnology and Human Systems

Our R&D seeks to improve human conditions on many fronts. The technology and systems we develop enhance disaster response capabilities, address impacts of climate change, advance defenses against biological and chemical threats, and improve the health and performance of the nation's service members and civilians.

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Bioanalytics Systems and Technologies
Biological and Chemical Technologies
Counter-Weapons of Mass Destruction Systems
Human Health and Performance Systems
Humanitarian Assistance and Disaster Relief Systems

We seek to leverage algorithms and analytics to derive insights from rapidly expanding biological datasets and develop solutions to address national security needs.

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Formal portraits of Laboratory principal staff member Roozbeh Jafari and MIT professor William Oliver.

Awards

Two from MIT are named 2025 IEEE Fellows

Dec 16

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Awards

Fifteen Lincoln Laboratory technologies receive R&D 100 Awards

Sep 12

An image of data within NeuroTrALE shows a black background with pale grey oval shapes that are outlined in red. These grey shapes are nuclei from neurons.

New open-source tool helps to detangle the brain

Jul 22

More News

A small sensor being adapted for the methane-detecting network

climate change

Low-Cost Methane Sensor Network

Deploying large networks of ground-based methane detectors could help detect pipeline leaks, improve climate models, and regulate emission sources.

Three project team members test the robot's flexibility in an indoor laboratory setting.

disaster relief

Vine Robots for Collapsed Structure Mapping

These robots can navigate difficult urban disaster terrain to help responders locate and access victims for rescue.

A web application of CAP images, hosted on ArcGIS, is annotated using LADI v2. Circle sizes and colors represent likelihood of damage and damage type, adjustable filters are in the middle, and the right shows a preview of a selected point.

disaster relief

Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery

This software program helps disaster responders extract actionable information from post-disaster aerial images.

Graphic showing a military servicemember on the left and a full hospital scenario on the right.

machine learning

Healthcare-Based Multimodal Recovery Prediction for the Servicemember

This machine learning model will help military and hospital personnel predict when servicemembers and patients may recover following an injury or surgery.

More Projects

I am most proud that my work has a tangible impact on the well-being of individuals and helps to protect U.S. citizens.

Isabel Smokelin

Biomedical Informatics Engineer

Biotechnology and Human Systems

Bioanalytics Systems and Technologies

Photo of Isabel Smokelin outside near trees in autumn

The primary places where I find inspiration are through my family and friends, fascination with technology, and the desire to make the world a better place.