CV

EDUCATION

B.A. in Political Science with Honors and Distinction, 2022 Stanford University, Stanford, CA

• Honors Thesis: “Climate and Conflict: New Empirical Evidence” (Advisor: Prof. Kenneth Schultz)
• Relevant Coursework: Climate and Society, Fundamentals of GIS, Research Design, Intro to Statistical Learning, Machine Learning for Social Scientists, Deep Learning
• Phi Beta Kappa; GPA: 4.052

EXPERIENCE IN CLIMATE, ENERGY, AND NATURAL RESOURCES POLICY

Legislative Aide (Natural Resources Committee), January 2023 – January 2024 Alaska State House — Juneau, AK

• Worked with stakeholders to navigate complex public policy challenges
• Researched state and local strategies for climate change mitigation and adaptation
• Briefed legislators on environmental and natural resources policy issues

EXPERIENCE IN QUANTITATIVE SOCIAL SCIENCE RESEARCH

Research Fellow (Computational Science) for Prof. Daniel Ho, August 2022 – January 2023 Regulation, Evaluation and Governance Lab — Stanford Law School, Stanford, CA

• Worked with other lab members and external partners at the California State Water Resources Control Board to assess the impact of California’s Mandatory Minimum Penalty program on water quality
• Studied the collection and use of demographic data in federal agencies

Research Assistant for Prof. Amanda Kennard, April 2022 – June 2022 Department of Political Science – Stanford University, Stanford, CA

• Used ERA5 reanalysis data to estimate renewable energy generation capacity across Europe
• Used the ENTSO-e API to collect high-resolution data from European transmission system operators

Research Assistant for Prof. Susan Athey, June 2021 – October 2021 Golub Capital Social Impact Lab — Stanford Graduate School of Business, Stanford, CA

• Collaborated with other lab members and partners at the World Health Organization to design a large-scale randomized controlled trial to increase COVID-19 vaccine uptake in West Africa
• Reviewed and summarized literature on persuasion, behavior change, and vaccine hesitancy

Research Assistant for Prof. David Laitin et al., January 2021 – April 2021 Immigration Policy Lab – Stanford University, Stanford, CA

• Facilitated the deployment and analysis of two large-scale surveys
• Performed web scraping and data analysis using R

Research Assistant for Dr. Milan Vaishnav, June 2019 – March 2021 South Asia Program – Carnegie Endowment for International Peace, Washington, D.C.

• Co-authored one op-ed, one working paper, and one peer-reviewed journal article
• Conducted research on electrification and improved cookstove programs in India

Research Assistant for Dr. Brandon de la Cuesta, October 2019 – December 2020 Stanford King Center on Global Development – Stanford University, Stanford, CA

• Conducted research on electoral politics in Sub-Saharan Africa
• Cleaned and processed (spatial) data from elections and regional surveys

Research Assistant for Prof. Anna Grzymala-Busse, Nov 2018 – June 2019 Freeman Spogli Institute for International Studies – Stanford University, Stanford, CA

• Collected, cleaned, and validated data on populist parties in hundreds of elections
• Analyzed primary sources to identify and code populist parties

TEACHING EXPERIENCE

Course Development Assistant for Prof. David Laitin, June 2019 – December 2019 and April 2021 – June 2021 Stanford Department of Political Science – Stanford, CA

• Co-developed the website and problem sets for African States Since Independence
• Helped undergraduate students complete coding assignments in R and Stata

PUBLICATIONS

• Devesh Kapur, Milan Vaishnav and Dawson Verley. 2021. “What Is Women’s Work? Reflections from Four North Indian Urban Clusters.” Urbanisation, 6(1), S20–S39.

AWARDS

• First Place (with Jasmine Nguyen and Grace Barket), Stanford KIDA Global Development Hackathon, 2021
• Russell A. Berman Award for Excellence in an Introductory Seminar, Stanford VPUE, 2019
• Boothe Prize Finalist, Stanford Program in Writing and Rhetoric, 2018

SKILLS AND INTERESTS

• Technical Skills: Python, R (tidyverse), machine learning, deep learning (tensorflow), remote sensing, GIS
• Research Interests: natural language processing, causal inference, ​​climate change, public policy