Exploring and monitoring the diversity of previously uncharacterized life - from viruses to sharks, and everything in-between - in tropical, estuarine, deep-sea, subsurface, and other unique environments. Tools and approaches used include, but are not limited, to eDNA, metabarcoding, and genomics.

Restoring human-impacted wetlands and elucidating connections and seasonal dynamics of marine food webs. Field-based sample collection and direct enumeration via microscopy are common techniques used.

Surveying and mapping ocean and deep-sea environments and life. Human-occupied, remotely-operated, and autonomous vehicles are used to access this unique environment.

Harnessing the power of Artificial Intelligence (AI) and Machine Learning (ML) to advance environmental and aquatic sciences.

Advancing genomics, technology and scientific infrastructure. Developing and implementing standards for biological data to ensure valuable widespread utility. 

Exploring life deep underground and below the seafloor to understand novel life and its role in shaping Earth's global carbon, nitrogen, and phosphorous biogeochemical cycles.

Applying computational techniques and machine learning approaches to design synthetic solutions for global problems.