DS/AI Accelerator

Through the Data Science & AI Accelerator (previously Incubator) program I have supported many researchers in their dive into using data-intensive methods to extract information from complex and messy datasets and many of those projects have turned into fruitful long-term collaborations.

• Probabilistic Convective Outlooks from Time-Evolving Environmental Conditions with Convolutional Neural Networks with Miles Epstein, Atmospheric and Climate Science (Fall 2025)
• The Use of Machine Learning to Predict Hospital Readmissions After Lower Limb Amputation in the Medicare Population with Rachael Rosen, Rehabilitation Science (Spring 2025)
• Deep Learning to Uncover Watershed Specific Characteristics in Salmon Otolith Patterns to Aid in Management of Pacific Salmon with Benjamin Makhlouf, School of Aquatic and Fishery Sciences (Winter 2025)
• What do leaders say? Analysis of the United Nations General Debate Corpus with Jihyeon Bae, Political Science (2024)
• Characterizing the spatio-temporal evolution of marine heatwaves, with Cassia Cai, School of Oceanography (2023)
• User-friendly Tools for Oceanic Plankton Image Analysis (UTOPIA), with Ali Chase, Applied Physics Laboratory (2022)
• Learning to See the Forest and the Trees: Using Computer Vision to Make Forest Stewardship More Accessible, with David Diaz, School of Environmental & Forest Sciences (2021)
• Deer Fear: Using Acceleromenters and Video Camera Collars to Understand if Wolves Change Deer Behavior, with Apryle Craig, School of Environmental & Forest Sciences (2020)
• Affective State Analysis of Ultrasonic Vocalizations in Animal Models mTBI/PTSD and Neuropathic Pain, with Abigail Schindler, Psychiatry and Behavioral Sciences (2019)
• Discovering Marine Trophic Interaction Patterns Using Sonar Time Series from Ocean Observatories, with Wu-Jung Lee, Applied Physics Lab and Bernease Herman, eScience Institute (2017)
• Cloud-Enabled Tools for the Analysis of Subsea HD Camera Data, with Aaron Marburg, Applied Physics Lab, and Bernease Herman, eScience Institute (2017)
• Detecting Small Particles in Low-Contrast Images to Aid in Particle Tracking, with Alicia Clark, Mechanical Engineering, and Bernease Herman, eScience Institute (2017)
• Damage Speaks: Acoustical Monitoring Framework for Structures Subjected to Earthquakes, with Travis Thonstad, Civil & Environmental Engineering (2016)