School of Engineering
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Jane Woodward
Adjunct Professor, Atmosphere and Energy
BioJane Woodward is an Adjunct Professor in the Department of Civil and Environmental Engineering at Stanford University where she has taught classes on energy and environment since 1991. She currently serves on the teaching teams for Understand Energy and Stanford Climate Ventures. Jane also serves on Stanford's Precourt Institute for Energy Advisory Council and has founded and continues to fund multiple sustainable energy education initiatives at the university.
Jane is a Founder and Managing Partner of WovenEarth Ventures, a US early-stage climate venture fund of funds. Additionally, she is an investor in several early-stage sustainable energy companies and funds, as well as an advisor and director for some of them.
Jane is a Founding Partner at MAP Energy, an energy investment firm currently focused on oil and gas royalty interests. MAP began investing in natural gas mineral rights in 1987, wind energy in 2004, utility scale solar in 2015, and energy storage in 2017. In December 2020, MAP sold its renewable energy and energy storage assets under management to Global Infrastructure Partners (GIP). The company remains one of the longest-standing private energy investment fund management firms in the US.
In 2016, Jane created The Foster Museum, a 14,000-square-foot art venue in Palo Alto, to share artist-explorer Tony Foster’s powerful exhibitions of watercolor journeys with an intention to inspire connection to the natural world.
Prior to founding MAP in 1987, Jane worked as an exploration geologist with ARCO Exploration Company and later as a petroleum engineering consultant to Stanford University’s endowment. Jane has a BS in Geology from UC Santa Barbara, an MS in Engineering and Petroleum Geology, and an MBA, both from Stanford University. -
Katie Wu
Ph.D. Student in Environment and Resources, admitted Autumn 2022
Ph.D. Minor, Civil and Environmental EngineeringBioKatie's research explores how community-driven social interventions and infrastructure development impact community and climate resilience in informal settlements. Her work advances how we operationalize resilience to better inform community-based strategies, policy, and investments that support urban transformation for vulnerable populations. She incorporates participatory methods essential for driving community-led efforts, ensuring a community's deep participation in every step of the iterative analysis, planning, and decision-making processes, in collaboration with multi-sectoral partners and decision-makers. Katie integrates advanced data science techniques, including network science and graph neural networks (GNNs), with community-generated, ground-truthed data to redefine how resilience is measured and applied for more equitable, community-driven strategies for sustainable development. She uses unconventional data sources, such as satellite imagery and citizen-sourced data, to model the built and natural environment in areas with limited conventional data.
Prior to Stanford, Katie studied data science and AI for Product Innovation at Duke University, where she obtained a Master of Engineering Management (MEM). She was a Sustainability Graduate Intern at Lyft, Inc., where she completed and rebuilt their 2020 Greenhouse Gas (GHG) Inventory and Report and designed an air quality model forecasting potential health benefits of EV adoption for underserved communities. She received an M.S. in Medical Science from the University of Colorado School of Medicine and a B.S. in Animal Science with Distinction in Research from Cornell University. Katie is a Dean's Graduate Scholar in the Doerr School of Sustainability, an Emerson Consequential Scholar with the Stanford Technology Ventures Program (STVP), a Graduate Fellow at the Stanford Institute for Human-Centered AI (HAI), and a Stanford Dalai Lama Fellow. -
Yaochun Yu
Assistant Professor of Civil and Environmental Engineering
BioMy research focuses on functional environmental microbiology and environmental analytical chemistry to uncover and harness microorganisms for chemical biotransformation. We integrate high-resolution mass spectrometry, meta-omics sequencing, molecular microbiology and biochemistry, and computational modeling to identify the functional microbes, genes, and enzymes that drive these processes. Building on these mechanistic insights, we aim to develop environmentally benign chemicals and novel biosolutions for bioremediation and waste-to-resource recovery.
I am also interested in how anthropogenic perturbations (i.e., chemical exposure) reshape microbial biodiversity and ecosystem function across natural and engineered ecosystems. We aim to resolve these cause–effect relationships and, using standardized and synthetic microbial communities, run comparable, hypothesis-driven experiments that translate fundamental insights into predictive tools and practical interventions. The aim is to help keep human activities within the safe operating space of planetary boundaries while advancing environmental and public health.