Sean Jungbluth

Sean Jungbluth, PhD

Oceanographer, Microbial Ecologist, and Computational Biologist

PI/Group Lead, Estuary and Ocean Science Center

Adjunct Professor, Department of Biology, San Francisco State University

Affiliate Researcher, Lawrence Berkeley National Laboratory

Exploration of Earth's microbial and viral diversity is a major scientific frontier. Sequencing DNA — the blueprint of life — collected directly from the environment provides a powerful way to access the fantastic microbial diversity on our planet.

My previous work has explored the nature and extent of microbial life underground and below the seafloor using tools rooted in molecular biology, biogeochemistry, and microbiology. Now I employ computational tools and leverage big data to continue exploring microbes at a larger scale, while developing software enabling molecular microbial ecology research for others.

Sean Jungbluth alongside the Alvin submersible and Sentry AUV

With the Alvin submersible and Sentry AUV

Research

Diversity of Life

Lab

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.

Ocean & Deep-Sea Exploration

Lab

Surveying and mapping ocean and deep-sea environments and life using human-occupied, remotely-operated, and autonomous vehicles.

AI/ML for Environmental Science

Sean

Harnessing the power of Artificial Intelligence and Machine Learning to advance environmental and aquatic sciences.

Genomics, Technology & Data Standards

Lab

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

Astrobiology, Extremophiles, and Deep Biosphere

Sean

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

Synthetic Biology & Bioengineering

Sean

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

View all research →

Contact

General Inquiries

seanj dot lab at gmail dot com

SFSU-specific Inquiries

sjungbluth at sfsu dot edu