What insights lie hidden in your sensor data?
WHO WE ARE
We are a cross-disciplinary team of scientists and engineers who work at the intersection of the physical sciences, sensing, and information processing.
Our team is highly skilled at characterizing and monitoring subsurface environments and processes, performing numerical modeling, digital signal processing, and machine learning in the presence of noise and uncertainty.
We apply these competencies to develop innovative applications of sensing and analysis to problems of societal importance with particular emphasis on illuminating hidden parameters affecting complex and dynamic systems.
WHAT WE DO
We find insights that conventional approaches miss.
We combine foundational respect for first principles with quantitative understanding of measurement error and skill in advanced computational methods, to extract maximum actionable information from sensor signals.
From monitoring the fine scale movement of water through the earth to revealing hidden tunnels that threaten security, we develop technologies that power discovery.
TunlNet is a passive border monitoring technology that was developed based on decades of experience in the real world environment with geologic investigation, sensors, and...
The Profile Resolving In-Situ Moisture Sensor provides long-term time series monitoring of spatially resolved profiles of soil water content in the unsaturated zone...
The Simple Cabled Instrument for Monitoring Parameters In-Situ is an inexpensive seafloor borehole observatory for unconsolidated sediments...
STEPHEN FARRINGTON, PE
Owner / Lead Technologist
An expert in geotechnical, environmental, and hydrologic subsurface investigation and monitoring, Stephen is a proven innovator who draws on experience with field studies, modeling and simulation, DSP, algorithm development, and systems engineering to extract maximum insight from sensor data. Numerous patents bear his name.
ANDREA PEARCE, PhD
Beginning her career as a physicist, Andrea has researched and employed techniques including artificial neural networks, multivariate statistics, and geostatistics to analyze complex environmental datasets. She directs and is a key technical contributor to machine learning activities at Transcend. In her free time, she enjoys biking, skiing, and a good book.
Scientist / Subsurface Modeler
Combining an affinity for directly experiencing and sharing nature with expert skill at modeling its processes, Jeff is a whiz with MODFLOW, HYDRUS, FloPy and python. He primarily designs, conducts, and analyses simulations of single-phase and multi-phase transport of water and air in porous media.
Senior Software Engineer
Doug has developed software for integrating biodiversity and ecosystem services into impact assessment and mitigation decisions, geoprocessing for GIS and image algorithms, and image analysis for bioscience. Doug has taught and traveled extensively throughout South America and Europe and has trained deep learning networks in TensorFlow and Keras.
Catherine brings cheerful people skills, flexibility, and a penchant for organization to her performance of human resources, payroll, and bookkeeping functions, in addition to a variety of other responsibilities. A visual artist and art historian, Catherine also enjoys kayaking, yoga, and travel.
An undergraduate in biomedical engineering and a FIRST Robotics alumus, Max is a natural multi-disciplinary thinker. He performs CAD design, additive manufacturing, graphics, and video production. Max is also an aerial drone pilot and accomplished pianist who enjoys downhill biking and skiing.