Talks and presentations

Results from the Summer 2022 Undergraduate Forestry Data Science Program

November 15, 2022

Product Demonstration, Forest Inventory and Analysis Fall Meeting, remote

Product demonstration of an RShiny website we developed as part of the Harvard Undergraduate Forestry Data Science program in collaboration with our stakeholder NCASI. Here we combine CMIP5 and CMIP6 large ensemble climate data with forestry data to model how changes in climate are expected to impact tree species distributions. We particularly focus on user experience and interactivity alongside developing graphics that contain measures of uncertainty while still being accessible to an audience with a wide range of statistical acumen.

Snow Droughts: The Future of Snowpack in the Western United States

January 27, 2022

Oral Session, American Meteorological Society, 2022, Houston, Texas (remote)

Presented ongoing research on snow droughts in the Western United States. Special thanks to the NOAA Hollings Scholarship program for funding this project. Please feel free to check out the talk on YouTube.

Comprehensive California-wide large-scale noise cross correlations

December 15, 2020

Oral Session, American Geophysical Union, remote

At AGU 2020, I outlined the high-performance computing framework developed during my time with the Harvard Seismology Group. The project, entitled: C4: Comprehensive California Cross-Correlations, was presented during session 022 (Seismology). Below is a preview video I made as the extended version of my oral talk.

Ground motion prediction using ambient seismic noise on a large-N array in the LA basin

November 15, 2020

Poster Presentation, Southern California Earthquake Center, remote

Presented some early findings from the BASIN Project at the Southern California Earthquake Center’s 2020 Fall meeting. Here, we compared results from the empirical calculations alongside numerical simulations. The poster presentation can be found here.

Cloud Computing for Seismology

November 05, 2020

Research Group Presentation, Stanford Seismology Group, San Francisco, CA (remote)

Co-presented a tutorial on using commercial cloud computing services for seismology applications with PI Marine Denolle and Tim Clements to the Stanford Seismology Group led by Professor Beroza. I provided a technical workflow example using the Julia programming language on AWS with step-by-step instructions for getting started with AWS: from selecting instance configurations and getting key pairs set up to create an Amazon machine image built with Julia packages.

Julian Schmitt