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πŸ‘‹ Hi, I'm @syedmfuad

I am currently a Ph.D. candidate in Applied Economics at Texas Tech University. Before that, I completed my undergrad majoring in Finance and Mathematics.

My research develops programmable computational models to tackle challenges that arise from real-world data. I leverage large, high-resolution data sources - microdata, mobile GPS, remote sensing, geospatial gridded data - to capture and improve understanding of social networks and resource-use behavior.

As an applied microeconomist, my research strengthens the data-policy pathway by using applied econometric and machine learning methods, first by collecting unique, high-resolution data, and then by applying advanced techniques that require these high quality, high-resolution data. My work so far has explored areas of spillover effect of conflict (Food Policy'23), causal effects of conflict (Agriculture & Food Security'23), social networks and small-world network outcomes, property taxation discrimination, housing submarkets, socio-economic and locational determinants of food stores using ML methods and causal inference using ML. To address these issues, I have employed research methods ranging from regular econometric and optimization modeling to machine learning, bayesian simulation, network modeling, and geospatial analysis.

Syed Fuad's Projects

aaec6308 icon aaec6308

Demo codes for Advanced Natural Resource Economics course by Dr. Farmer and TA-ed by yours truly.

agri_grid_data icon agri_grid_data

Harmonize heterogenous spatiotemporal gridded agriculture-related datasets. Part of a larger ongoing project to monitor land and water use by combining irrigation and gridded data via remote sensing data with machine learning.

applied-ml icon applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

causal_ml icon causal_ml

Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.

crime_spillover icon crime_spillover

R script for paper investigating the spilling characteristic of crime by analyzing county- and metropolitan statistical area-level violent and non-violent crime data using spatial econometric models.

daca_causal icon daca_causal

Causal effect of DACA on labor market outcomes. Run difference-in-differences models for immigrants near the criteria cutoffs for DACA eligibility and investigate the causal effect of DACA on labor market outcomes of local residents.

did_multiplegt icon did_multiplegt

Estimation in sharp Difference-in-Difference designs with multiple groups and periods

disk.frame icon disk.frame

Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

faker icon faker

Faker is a Python package that generates fake data for you.

fmm icon fmm

R, Julia and Python implementation of the two submarket fully endogenized finite mixture model used in forthcoming articles by Fuad and Farmer (202-) and Fuad, Farmer, and Abidemi (202-).

food_store_location_pred icon food_store_location_pred

Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS β€˜pings’ to identify food retailer location and foot traffic information.

geospatial_misc icon geospatial_misc

Miscellaneous codes for harmonizing agricultural output and other agri-related data raster files and shapefiles. Extracts from raster files the grid-cell data by shapefile boundary.

gin_trash_optimization icon gin_trash_optimization

Optimization problem to combust cotton gin waste to profitably produce electricity and ammonia. Uses hourly electricity prices over 12-years and iterates over 10,000 simulation years.

jobmarkethacker icon jobmarkethacker

A tool to create application packets for the academic economics job market

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