Brianna Heggeseth
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Categories
All (17)
Applied Collaboration (12)
Arts (4)
Correlated Data (11)
Environmental Epidemiology (6)
Genetics (2)
Local Consulting (1)
Methodology (5)
Ongoing (3)
Social Psychology (1)

Scholarly Data Projects

My primary research interests lie broadly in the study of statistical models and machine learning algorithms and their application in practice. Recently, I have collaborated with colleagues in social psychology, environmental epidemiology, genetic biology, and the arts. My statistical methodology work has focused on uncovering group structure and patterns in longitudinal data through clustering analysis techniques, probability models, as well as data mining approaches.

Vertically shifted Growth Mixture Models
Methodology
Correlated Data
Vertically shifted mixture models focus on explaining longitudinal shape.

Figure from Mann, et al.

Updating Implicit Impressions
Applied Collaboration
Social Psychology
Analysis on the Affect Misattribution Procedure (AMP)

Prenatal Phthalate Exposure and Childhood
Applied Collaboration
Correlated Data
Environmental Epidemiology
Prenatal Phthalate Exposure and Childhood Growth

Prenatal PFAS exposure and early childhood growth
Applied Collaboration
Correlated Data
Environmental Epidemiology
Prenatal PFAS and Early Childhood Growth

Prenatal DDT and Childhood Growth
Applied Collaboration
Correlated Data
Environmental Epidemiology
Prenatal DDT and Childhood Growth

Parity and BMI in US Women: a prospective 25‐year study
Applied Collaboration
Correlated Data
Environmental Epidemiology
Parity and BMI in Women

Misspecification of Mixture Models
Methodology
Misspecification of Mixture Models

Longitudinal Regression Trees
Methodology
Correlated Data
splinetree R package

Figure from Project Shiny App

Diversity on Display at the National Gallery
Applied Collaboration
Arts
Datathon at the National Gallery of art project to explore diversity of artists on display.

Screenshot of Shiny App.

Diversity of artists in major U.S. museums
Applied Collaboration
Arts
In collaboration with a team of applied mathematicians, statisticians, and art historians and curators, I used data science and machine learning tools to…

Figure from Heggeseth, et al.

Cricket Paternity Distribution & CHC Profile
Applied Collaboration
Correlated Data
Genetics
Ongoing
Relationship between paternity preferences and CHC Profiles in hybridizing field crickets

Figure from Heggeseth, et al.

Cricket Courtship
Applied Collaboration
Correlated Data
Genetics
Aurvival analysis on time to courtship in hybridizing field crickets

Screenshot of Shiny App.

Counting the Twin Cities
Applied Collaboration
Arts
In the fall 2020, Macalester College students in the course THDA217, Gender and Race Theory in Performance embarked in a two-pronged learning experience: they read and…

Comparing Mixture and Mixed Effects Models for baseline exposures and longitudinal growth
Methodology
Correlated Data
Environmental Epidemiology
Mixture vs. Mixed Effects Models

Alvintrusty via Wikimedia Commons

Collaboration with Minneapolis Institute of Art
Applied Collaboration
Arts
Local Consulting
Data analysis of collection data of Minneapolis Institute of Art

Photo from Shiny App

Clustering Longitudinal Categorical Data
Methodology
Correlated Data
Ongoing
This project focuses on comparing methods for clustering longitudinal categorical data.

Photo by Lon&Queta on flickr, https://www.flickr.com/photos/lonqueta/3680348838

Associations with Early Kidney Injuries
Applied Collaboration
Correlated Data
Environmental Epidemiology
Ongoing
Methodology research to detect exposure associations with early kidney injuries
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