CV

Fields of Specialization

  • Energy & Environmental Economics
  • Empirical Industrial Organization
  • Machine Learning, Computational Economics & AI
  • Commodity Market Economics
  • Finance

Education

Ph.D. in Economics
Stony Brook University
  • Advisors: Yiyi Zhou and Steven Stern
  • Certificate in Artificial Intelligence
M.S. in Analytics
Georgia Institute of Technology
  • Concentration: Machine Learning
M.S. in Economics
Georgia Institute of Technology
B.S. in Economics
Georgia Institute of Technology

Job Market Paper

Investment and the Transfer of Power: Dynamic Effects of Transmission in Electricity Markets

Renewable resources are essential for energy transition, but unequal geographic distribution limits nationwide adoption. I develop and estimate a dynamic model of generator behavior consisting of a short-run optimal dispatch problem incorporating line losses and zonal transmission constraints and a long-run dynamic game for capacity investment. Using data from ISOs in the Eastern Interconnection and ERCOT from 2018–2023, I find that upgrading all interzonal transmission to modern HVDC standards would reduce average wholesale prices by 6%, generating approximately $4 billion in annual welfare gains. Major transmission projects like the Grain Belt Express increase solar and wind adoption by over 10% by 2050. Transmission and investment subsidies (IRA, Bipartisan Infrastructure Law) are complements in encouraging transition.

Publications

Offshore Horizons: HVDC Wind Farms – Exploring Techno-Economic Dimensions

With Deepi Singh, Gaurav Bhansali, Ali Anwar, Shreepooja Singh, Fang Luo, and Yiyi Zhou. IEEE Access, 2025.

High Voltage Direct Current (HVDC) technology is a cornerstone of efficient Offshore Wind Farm (OWF) power transmission. This review examines HVDC OWF connections through four interlinked dimensions: economic considerations, connection topologies, converter designs, and technical modeling.

Working Papers

Non Linear Dividend Taxation and Shareholder Disagreement

With Alexis Anagnostopoulos, Eva Carceles-Poveda, and Gabriel Mihalachel

Industrial Policies in a Market with Environmental Externalities: Evidence from the Chinese Solar Panel Industry

With Yiyi Zhou and Xiangjun Ma

AI Efficiency and United States Power Quality and Emissions

With Aruna Balasubramanian and Niranjan Balasubramanian

Integrating Biophysical and Economic Models to Assess U.S. Agricultural Resilience

Econ Gym: A Generalized Framework for Solving Dynamic Structural Models in Economics

With Eva Carceles-Poveda

Commodity Markets LLM-based Futures Forecasting

With Dikshya Mohanty and Khushboo Singh

Taxation with Debt Default

With Eva Carceles-Poveda and Xavier Mateos-Planas

Works in Progress

A Structural Model of Data Center Procurement of Electricity with Impacts on Reliability, Emissions, and Prices

With Aruna Balasubramanian and Niranjan Balasubramanian

Agentic AI Modeling for Rapid Analysis of Chokepoint Crises Along Strategic and Economic Dimensions

With Brett Indelicato, Lav Varshney, and Suzanne Thornsburry

Agricultural Supply Chain Resilience: Using AI to Integrate Economic and Biophysical Models

The International Determinants of Shareholder Disagreement

With Alexis Anagnostopoulos and Eva Carceles-Poveda

Robust PCA and Limit Uniqueness in High-dimensional Global Games with Strategic Complementarities


Work Experience

Supply Chain Analysis Graduate Research Assistant
Super-Cascode for High Voltage MMC Modules Project, Sandia National Labs
  • Conducted market analysis for high-voltage power electronics
  • Produced silicon-carbide semiconductor supply chain reports
Research Analyst
Food and Resource Economics, University of Florida
  • Developing AI tools for macroeconomic analysis using GTAP
  • Analyzing data center impacts on rural electricity and water systems
NSF Funded Research Fellow
BIAS-NRT: Detecting and Addressing Bias in Data, Humans, and Institutions
  • Fellowship for bias detection in data and institutions
  • LLM-based commodity forecasting research
  • PhD coursework in AI, NLP, computer vision, and databases
Graduate Research Assistant
Spellman High Voltage Power Electronics Lab
  • Developed data-driven tools to study impact of HVDC on electricity prices and consumer welfare in New York area
  • Interdisciplinary research on econo-technical facets of offshore wind
  • Supervisors: Fang Luo and Yiyi Zhou
Graduate Research Assistant
Eva Carceles-Poveda, Stony Brook University
  • Research on the impact of dividend tax progressivity on shareholder disagreement
  • Analyzed Compustat and WRDS data with Python and Stata
Data Scientist Intern
Department of Treasury, Bureau of the Fiscal Service
  • Causal inference on fiscal data (electricity markets, rural broadband) using USAspending API
  • Developed Python automation for federal spending data
  • Co-authored monthly stakeholder reports
Economist Intern
USDA Economic Research Service
  • Created data visualizations related to the potato industry and usage of common pesticides and fertilizers
Writing Center Tutor
Stony Brook Writing Center
Economist Intern
Federal Energy Regulatory Commission
  • Built R Shiny dashboard for natural gas/electricity market anomaly detection
  • Implemented ML algorithms (isolation forest, PCA, SVM, decision trees) for market surveillance
  • Developed auto-updating ARIMA forecasting for electricity contracts
Agricultural Economist
USDA Economic Research Service
  • Published oil crops and season average price data; contributed to WASDE and oilseeds/wheat outlook reports
  • Designed and implemented state trade data product and associated database
  • Led division-wide SQL and machine learning trainings
Microeconomics PhD Tutor
Stony Brook Economics Department
Graduate Research Assistant
Economics at Stony Brook Diversity Fellowship
Peer Tutor
Georgia Tech Athletic Association
Financial Management Student Intern
Defense Finance and Accounting Service

Conference Presentations

International Industrial Organization Conference (IIOC) · Rising Stars Session, 2026
  • Investment and the Transfer of Power: Dynamic Effects of Transmission in Electricity Markets.
Midwest Economics Association, 2026
  • Investment and the Transfer of Power: Dynamic Effects of Transmission in Electricity Markets.
Missouri Valley Economics Association, 2025
  • Investment and the Transfer of Power: Dynamic Effects of Transmission in Electricity Markets.
Society of Economic Dynamics · Copenhagen, Denmark, June 2025
  • Non-Linear Dividend Taxation and Shareholder Disagreement.
    With Eva Carceles-Poveda, Alexis Anagnostopoulos, and Gabriel Mihalachel. Delivered by Eva Carceles-Poveda.
Southern Agricultural Economics Association · Irving, Texas, February 2025
  • Commodity Markets LLM-based Futures Forecasting.
    With Dikshya Mohanty and Khushboo Singh.
BRIDGES Poster Conference · Stony Brook, New York, January 2025
  • Investment and the Transfer of Power: Dynamic Effects of Transmission in Electricity Markets. Poster
  • Offshore Horizons: HVDC Wind Farms -- Exploring Techno-Economic Dimensions. Poster
    With Deepi Singh, Gaurav Bhansali, Ali Anwar, Shreepooja Singh, Fang Luo, and Yiyi Zhou.
  • Commodity Markets LLM-based Futures Forecasting. Poster
    With Dikshya Mohanty and Khushboo Singh.
Midwest Macro · Richmond, Virginia, May 2024
  • Non-Linear Dividend Taxation and Shareholder Disagreement.
    With Eva Carceles-Poveda, Alexis Anagnostopoulos, and Gabriel Mihalachel. Delivered by Eva Carceles-Poveda.
Economics and Computing · New Haven, Connecticut, July 2024
  • Transformers but not the Kind You're Thinking of: Commodity Market Forecasting using Natural Language Processing. (Poster)
    With Dikshya Mohanty and Khushboo Singh.
Agricultural and Applied Economics Association · Kansas City, Missouri, July 2020
  • Can an AI figure out whether an AI can take my job? Structural Blueprint for AI-generated Academic Papers in Economics. Paper
  • Solving the Basis Aggregation Problem. Poster
  • Agricultural basis from a game theoretic perspective. Poster

Invited Presentations

Argonne National Labs, 2026

Non-academic Publications

Invited Book Chapter for Green AI: Marketcraft for AI: Designing a Better Market for Memory, Compute, and Intelligence
With Lav R. Varshney. Forthcoming.

Government & Industry Publications

Comparative Study & Networked Benchmarking of Power Electronics Architectures for HVDC OSW Energy Integration
May 2024
Oil Crops Outlook Report
May 2020--July 2021 · Link
Wheat Outlook Report
December 2020--January 2021 · Link

Teaching

CourseRoleTerm
Introduction to Computational Methods in EconomicsTeaching AssistantSpring 2026
Environmental and Natural Resource EconomicsInstructorFall 2025
Data Science and Machine LearningInstructorSummer 2025
Economics of Environmental and Natural ResourcesInstructorWinter 2025
Economics and SustainabilityInstructorFall 2023
Economics and SustainabilityInstructorSpring 2023

Teaching Assistant Work

CourseTerm
Data Science and Machine LearningSummer 2024
Econometrics (graduate)Spring 2023
Mathematical Statistics (graduate)Fall 2022
Introduction to EconomicsFall 2021--Spring 2022
Philosophy of Science, Technology, and Human ValuesSpring 2019

Awards, Fellowships & Grants

OVPR Seed Grant (with Eva Carceles-Poveda and Ria Rajiv Shah) $40,000
Stony Brook University Office of Proposal Development, 2024--2025 · Announcement
NSF BIAS-NRT Research Fellowship $74,000
National Science Foundation, 2023--2025 · Announcement
Department of Economics Diversity Fellowship $75,000
Stony Brook University Economics, 2021--2026 · Announcement
President's Scholarship $10,000
Georgia Tech Economics, 2016--2020
Dean's Scholarship $8,000
Ivan Allen College of Liberal Arts, 2016--2020
USGIF Scholarship Winner $2,000
United States Geospatial Intelligence Foundation, 2016
Zell Miller Scholarship Full Tuition
State of Georgia, 2016--2020

Skills

Programming & Scripting

  • Python (NumPy, Pandas, GeoPandas, PyTorch, TensorFlow)
  • Julia, R, Matlab, Stata, SQL (PostgreSQL/BigQuery)
  • Scala, Dask, PySpark / Spark SQL
  • Fortran & CUDA accelerated JAX
  • JavaScript (D3/Plotly) & Tableau

Machine Learning / AI

  • Supervised & unsupervised ML (Isolation Forest, PCA, SVM; ARIMA/LSTM time series)
  • Reinforcement Learning (RLlib, Gym, deep Q-learning)
  • Transformers, Computer vision & LLM fine tuning (HuggingFace, LoRA/PEFT, OpenCV, NLTK)

Service & Leadership

  • AERE at SEA, Reviewer, 2026
  • IEEE Access, Reviewer, 2025
  • Graduate Student Organization, Economics Senator, 2021--2025
  • Graduate Student Organization, Chair of Board of Appeals, 2022--2023
  • Stony Brook University Game Theory Conference, Volunteer, 2024
  • Economics Graduate Student Departmental Grievance Committee, Student Representative, 2022--2023
  • Books Not Bombs, Tutor, 2020--2021
  • AEA LGBT Mentoring Program, Mentor, 2020--2021
  • Georgia Tech and Archer High School Debate Teams, Debate Judge, 2017--2022
  • Pipeline Project, Mentor, 2019