Brian Schlining

Software Engineer

Monterey Bay Aquarium Research Institute

7700 Sandholdt Road

Moss Landing, CA 95039

Phone: (831) 775-1855


Brian is a Software Engineer at MBARI working in the Information Engineering group of the Research and Development division. He has a bachelor’s degree in Biology from the University of Maryland, College Park and a master’s degree in Marine Science/Physical Oceanography from Moss Landing Marine Laboratories.

Brian has developed software systems supporting science at Moss Landing Marine Laboratories, the Naval Post-graduate School and at MBARI. Employed at MBARI since 1998, he has worked on numerous projects involving video and image analysis, video annotation, numerical analysis, user-interface development, and data-management systems.

Bintray | Bitbucket | GitHub | JIRA

2018 Projects

Video Annotation Data Management (500055)

MBARI has collected over 23,000 hours of underwater video since 1984. Working alongside the research and video staff, Brian develops systems for assisting MBARI staff with managing and analyzing this video data. MBARI’s video management and annotation tools, such as the Video Annotation and Reference System (VARS), are open-source and freely available to other researchers.

MBARI provides a Deep-Sea Guide for identifying and characterizing deep-sea organisms. As the lead engineer, Brian provides support, development and updates to the Deep-Sea Guide.

Environmental Sample Processor (901205 – 708129)

The MBARI Environmental Sample Processor—the ESP—provides on-site (in situ) collection and analysis of water samples from the subsurface ocean. Brian provides tools for analyzing images collected by the ESP.

Midwater Time Series (901221)

Between the surface of the sea and the ocean floor lies a vast fluid universe, Earth’s least-known environment. MBARI has sophisticated systems that have spent thousands of hours surveying and describing the deep waters of the ocean. In support of MBARI’s Midwater lab, Brian develops tools, technology, and analytical techniques for working with this large collection of data.

DeepPIV (901506)

The DeepPIV is an instrument that captures the motion of very small suspended particles using a laser sheet and a high-resolution camera. Brian integrates the data and video from this new technology with existing MBARI data management systems.

Data Technical Advisory Group (901602)

Along with other members of the information engineering group, Brian is involved with work on MBARI’s data management systems. The group’s goals for 2018 include:

  • Develop methods for merging molecular data with other environmental observations.
  • Assimilate data into four-dimensional coupled physical and biological models.
  • Create tools for preserving, exploring and mining multi-disciplinary data sets

Video Technical Advisory Group (901603)

This group researches and evaluates new developments and innovations in deep learning and machine vision as applied to underwater image and video analysis.

Deep Sea Bioinspiration (901809)

The Bioengineering lab is driven by this question: “As organisms live and develop in a turbulent and changing fluid environment, how do fluid interactions impact their ecology, swimming ability, and behavior, and how can we learn from these strategies for application to bioinspired design?

Brian’s contribution in 2018 is to develop tools for video analysis, image analysis and video segment extraction to enable three-dimensional reconstruction of static surfaces from video.