Posts by Collection

NCASI Climate Web Application

UFDS collaboration with NCASI: Climate forestry web Application

NOAA Research Exprience

Story of the snow droughts project during my time at NOAA

Seismology Research Exprience

Detailing my work with the Harvard and UWashington Seismology Groups

Undergraduate Forestry Data Science Lab Research Experience

Details my role working with PI Kelly McConville on two data science projects.

Cloud Computing for Seismology

Published: November 05, 2020

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.

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

Published: November 15, 2020

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.

Comprehensive California-wide large-scale noise cross correlations

Published: December 15, 2020

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.

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

Published: January 27, 2022

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.

Results from the Summer 2022 Undergraduate Forestry Data Science Program

Published: November 15, 2022

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.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.