Engineering Team¶
Laura Chrobak, MS¶
MLOps Research Engineer, Senior Research Engineer at FathomNet email: lchrobak@mbari.org
Laura brings a rich experience working on computer vision problems in the marine domain, with a keen understanding of best practices in ML, data science, and project management. She is an important member of our team. Please contact Laura for more information about our model training and evaluation or use of Voxel51's enterprise platform. She is currently working with the CenCOOS team on the Voxel51 enterprise platform with Planktivore data.
Danelle Cline, MS¶
Senior Software Engineer email: dcline@mbari.org
Danelle is responsible for core ML infrastructure and developing processing pipelines. When time permits, she updates this documentation. She is currently working with all engineering team members on various efforts. Please contact Danelle for more information on how you can get involved or use these tools for your research.
Duane Edgington, PhD¶
Senior Software Engineer email: duane@mbari.org
Duane is at the forefront of understanding the state of the art in all things AI/ML. He is responsible for keeping the team up to date with the latest research, evaluating new models, training new models, and AWS cloud management. Duane brings deep expertise in understanding human and computer vision and is an invaluable member of our team.
Fernanda Lecaros Saavedra, MS¶
Research Engineering Technician email: fernanda@mbari.org
Fernanda is responsible for the Carbon Flux Ecology lab's research and development of in situ imaging and particle-imaging instruments. She is an important contributor and user of these core AL tools. She brings a unique perspective to the team with strong experience in computer vision. Please contact Fernanda for more information about how we use our vector database and classifier models to identify and classify rare and common particles.
Carlos Rueda, PhD¶
Senior Software Engineer email: carlos@mbari.org
Carlos is responsible for developing and evaluating new audio models for the Soundscape and LRAUV projects. He brings a strong background in audio analysis and machine learning. Please contact Carlos for more information about our audio processing pipelines and models.