Posts by Tags

AI

Aging

I had a great time at PAA 2025

1 minute read

Published:

I presented shared work with Professor William Dow and Henry Dow, comparing sociodemographic characteristics of older Hispanic adults in U.S. immigrant populations with those in their countries of origin, using census microdata and the American Community Survey (publication pending).

Field Data Collection in Puerto Rico

less than 1 minute read

Published:

I’m super grateful to the Puerto Rican team of The Caribbean American Dementia and Aging Study (CADAS). We got a lot done and things are moving quickly! Looking forward to visiting again soon.

CERAD Score

COVID-19

Presenting our Research for the Center for Studies in Demography & Ecology at University of Washington, Seattle

1 minute read

Published:

The impact of non-pharmaceutical interventions and protective health behaviors, such as the use of face masks and physical distancing, on COVID-19 dynamics is well-documented, but sub-group heterogeneities in the adoption of these behaviors remains understudied. In this paper, we describe partisan differences in the adoption of protective health behaviors, and model how these differences can impact the dynamics of COVID-19.

Categorization

DEI

Dataset Construction

Dementia

Field Data Collection in Puerto Rico

less than 1 minute read

Published:

I’m super grateful to the Puerto Rican team of The Caribbean American Dementia and Aging Study (CADAS). We got a lot done and things are moving quickly! Looking forward to visiting again soon.

Disease Spread

Presenting our Research for the Center for Studies in Demography & Ecology at University of Washington, Seattle

1 minute read

Published:

The impact of non-pharmaceutical interventions and protective health behaviors, such as the use of face masks and physical distancing, on COVID-19 dynamics is well-documented, but sub-group heterogeneities in the adoption of these behaviors remains understudied. In this paper, we describe partisan differences in the adoption of protective health behaviors, and model how these differences can impact the dynamics of COVID-19.

Disease Transmission

Understanding the Three-Group SIR Step by Step

16 minute read

Published:

In our upcoming paper, “Measuring and Modeling the Impact of Partisan Differences in Health Behaviors on COVID-19 Dynamics,” we use a three-group Susceptible-Infected-Recovered model to highlight the importance of incorporating partisan differences into models of disease transmission. In this blog post, I want to fully explain what is happening in the background for readers who may be interested in utlizing it themselves. For those users, we also built an R shiny app (soon to be published as well). The link to the shiny app will be: here.

Education

Free Will

Hispanic

I had a great time at PAA 2025

1 minute read

Published:

I presented shared work with Professor William Dow and Henry Dow, comparing sociodemographic characteristics of older Hispanic adults in U.S. immigrant populations with those in their countries of origin, using census microdata and the American Community Survey (publication pending).

Image Categorization

Inequality

Infectious Disease

I presented at the “Ask a Science Envoy” Event!

less than 1 minute read

Published:

I recently presented my research at the Science Envoy “Ask a Science Envoy” event at HopMonk Tavern in Novato—my first time presenting at a brewery and to a non-academic audience. The experience taught me the importance of navigating sensitive topics like partisanship and belief in science, especially when audience members began debating the subject.

LLM

How to Improve Match Quality on String Data Using Large Language Models

19 minute read

Published:

In the world of data analysis, ensuring the accuracy and consistency of datasets is crucial, especially when dealing with entities like school names that may be spelled differently across various sources. This discrepancy can pose significant challenges when trying to match records from different datasets. Traditional methods of data cleaning may fall short in addressing these inconsistencies effectively.

Large Language Models

I had a great time at PAA 2025

1 minute read

Published:

I presented shared work with Professor William Dow and Henry Dow, comparing sociodemographic characteristics of older Hispanic adults in U.S. immigrant populations with those in their countries of origin, using census microdata and the American Community Survey (publication pending).

Migration

I had a great time at PAA 2025

1 minute read

Published:

I presented shared work with Professor William Dow and Henry Dow, comparing sociodemographic characteristics of older Hispanic adults in U.S. immigrant populations with those in their countries of origin, using census microdata and the American Community Survey (publication pending).

Partisanship

I presented at the “Ask a Science Envoy” Event!

less than 1 minute read

Published:

I recently presented my research at the Science Envoy “Ask a Science Envoy” event at HopMonk Tavern in Novato—my first time presenting at a brewery and to a non-academic audience. The experience taught me the importance of navigating sensitive topics like partisanship and belief in science, especially when audience members began debating the subject.

Understanding the Three-Group SIR Step by Step

16 minute read

Published:

In our upcoming paper, “Measuring and Modeling the Impact of Partisan Differences in Health Behaviors on COVID-19 Dynamics,” we use a three-group Susceptible-Infected-Recovered model to highlight the importance of incorporating partisan differences into models of disease transmission. In this blog post, I want to fully explain what is happening in the background for readers who may be interested in utlizing it themselves. For those users, we also built an R shiny app (soon to be published as well). The link to the shiny app will be: here.

Presenting our Research for the Center for Studies in Demography & Ecology at University of Washington, Seattle

1 minute read

Published:

The impact of non-pharmaceutical interventions and protective health behaviors, such as the use of face masks and physical distancing, on COVID-19 dynamics is well-documented, but sub-group heterogeneities in the adoption of these behaviors remains understudied. In this paper, we describe partisan differences in the adoption of protective health behaviors, and model how these differences can impact the dynamics of COVID-19.

Python Package

Research

Understanding the Three-Group SIR Step by Step

16 minute read

Published:

In our upcoming paper, “Measuring and Modeling the Impact of Partisan Differences in Health Behaviors on COVID-19 Dynamics,” we use a three-group Susceptible-Infected-Recovered model to highlight the importance of incorporating partisan differences into models of disease transmission. In this blog post, I want to fully explain what is happening in the background for readers who may be interested in utlizing it themselves. For those users, we also built an R shiny app (soon to be published as well). The link to the shiny app will be: here.

Field Data Collection in Puerto Rico

less than 1 minute read

Published:

I’m super grateful to the Puerto Rican team of The Caribbean American Dementia and Aging Study (CADAS). We got a lot done and things are moving quickly! Looking forward to visiting again soon.

Science

I presented at the “Ask a Science Envoy” Event!

less than 1 minute read

Published:

I recently presented my research at the Science Envoy “Ask a Science Envoy” event at HopMonk Tavern in Novato—my first time presenting at a brewery and to a non-academic audience. The experience taught me the importance of navigating sensitive topics like partisanship and belief in science, especially when audience members began debating the subject.

Survey Data

Vision Models

Web Research

data cleaning

How to Improve Match Quality on String Data Using Large Language Models

19 minute read

Published:

In the world of data analysis, ensuring the accuracy and consistency of datasets is crucial, especially when dealing with entities like school names that may be spelled differently across various sources. This discrepancy can pose significant challenges when trying to match records from different datasets. Traditional methods of data cleaning may fall short in addressing these inconsistencies effectively.

envoy

first post

First Post in Honor of My Little Man, Charlie

less than 1 minute read

Published:

This first ever blog post is in honor of my recently passed little man, Charlie the cat, who for 12 years went together with me through thick and thin. He was the best cat anyone could’ve asked for, and no other will ever be able to replace him. I will miss you dearly, Charles, aka “Chester.” I love you always.

science

string data

How to Improve Match Quality on String Data Using Large Language Models

19 minute read

Published:

In the world of data analysis, ensuring the accuracy and consistency of datasets is crucial, especially when dealing with entities like school names that may be spelled differently across various sources. This discrepancy can pose significant challenges when trying to match records from different datasets. Traditional methods of data cleaning may fall short in addressing these inconsistencies effectively.

wonderfest