Los Alamos National Laboratory

Los Alamos National Laboratory

Delivering science and technology to protect our nation and promote world stability

Information Sciences

Uncovering actionable knowledge and generating insight into exascale datasets from heterogeneous sources in real time


  • Deputy Group Leader
  • Kari Sentz
  • Email

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Conceptual illustration of futuristic data stream processing.

Developing methods and tools for understanding complex interactions and extracting actionable information from massive data streams.

Basic and applied research supporting national security science

Thrust Areas

We conduct basic and applied research related to systems that make intuitive sense of the world around us.  From the development of novel deep-learning neural architectures for data-driven decision making, to the invention of new algorithms that take advantage of revolutionary hardware such as quantum and neuromorphic circuitry, we seek to change the world by pushing the boundary of what is possible in the here and now. Our core activities fall into four overlapping thrust areas:

Machine Learning

Developing computational methods that “learn by example” through the development of mathematical models, using past observations to make predictions about future data. Our research team is at the forefront of developing new methodologies for data-driven decision making, and applying these techniques to a wide variety of real-world applications.

Novel Computing

Algorithm development for non-traditional computational models and systems.  We have active research programs related to quantum computing, neuromorphic computing, and developing custom ASICs to serve as coprocessors to accelerate critical computations.

Computer Vision

We develop methods for analyzing and extracting information from all types of spatio-temporal data sets. This includes image, video, and signal analysis, as well as the output of physics simulation codes.  Making sense of data sets such as these is a fundamentally important activity to help in their proper analysis and interpretation.

Combinatorics & Optimization

As the world generates increasingly large data sets to analyze, efficient algorithms are crucial to finding answers to the important scientific questions we face.  We develop innovative approaches to difficult computations, and seek new ways to leverage all possible computing technologies in ways that enable us to solve problems never before possible. This includes fundamental algorithms for graph theory and quantum optimization, as well as large-scale control of physical systems.

Software Downloads

  • Sequedex (DNA Sequence Classification)
  • SimX (Python-based engine for Parallel Discrete-Event Simulation)
  • Simian (Python-based engine for Parallel Discrete-Event Simulation)