Yolanda Lin


Yolanda Lin

Yolanda’s current research seeks to develop a framework to identify extreme, unexpected “black swan” events (events that are difficult to predict but with disastrous consequences) in Southeast Asia, specifically for earthquakes, volcanoes, and tropical storms. She is also incorporating the use of downward counterfactual analysis in order to explore how a single past event can expand into a library of more catastrophic realizations of the same event, as well as investigating inverse methods to drive models from critical consequence thresholds to a library of events that could breach such a threshold.

Previously, Yolanda has worked on a diverse applications including seakeeping stability dynamics for naval ships, earthquake engineering, and biofuel supply chain modeling.

Projects and more


A collaborative and constructive virtual workshop to learn from each other, create disaster data art, and co-create criteria for visualizing risk data (July 20-August 7, 2020)

Advancing Consequence-Driven Risk Analysis

Developing a risk framework that is specifically designed to identify events with the potential for disproportionate catastrophic consequences

Counterfactual Black Swans Workshop

Hosting an interactive 2-day workshop to develop tools and ideas around counterfactual thinking in risk analysis
August 2019

Natural Hazards Workshop and Researchers Meeting

Convening a session on Transdisciplinary Data Convergence in the Asia Pacific Region 
July 2019

Contact information