Behavioral science, computation, and applied AI.
Most of my work starts from the same problem: people make judgments from messy, incomplete, socially loaded information. As a quantitative behavioral scientist I run experiments, model messy human data, and analyze language at scale to study how that actually works. As a builder I turn the same questions into AI workflows where evidence, context, and human review stay close to the decision being made.
Selected coverage
Public coverage and institutional pages.
A few external pages where my work, training, or recognition has been written up.
Capabilities
What I’m fluent with.
What I reach for when a question moves from idea to evidence to product. It’s usually me at every stage — designing the study, writing the analysis, building the retrieval system, shipping the work.
Engineering & tools
What I actually ship in — the stack I use day-to-day, from research pipelines to product systems.
Applied AI & product systems
How I use machine learning and large language models in real workflows — at scale, with retrieval, evaluation, and humans still in the loop.
Statistics & research methods
How I turn an ambiguous behavioral question into a study design and an analysis I can defend.
Mechanisms I study
The behavioral and cognitive territory I keep coming back to in the research itself.
Education
Training across psychology, statistics, and data science.
PhD Candidate in Psychology / Social Psychology; M.S. Psychology
2022-present; M.S. 2025
Where I do my graduate training in social psychology.
M.S. Statistics and Data Science
Graduate training
My bridge from psychology to industry-facing data science.
B.A. Psychology; minor in Composition & Rhetoric
Undergraduate education
My undergraduate foundation in psychology and writing/rhetoric.
Beyond publications
Applied work, teaching, and talks.
A lot of what I actually spend time on doesn’t live on a CV line — consulting with researchers on their data, teaching and mentoring, and going to talk about my work at universities and conferences.
Northwestern IT Research Computing
I’m a Data Science, Statistics, and Visualization Student Consultant. I work with researchers across Northwestern to figure out what to do with ambiguous data, build analyses in R and Python, and turn results into decisions they can act on.
Northwestern & Harvard Extension
I’ve been a teaching assistant at Northwestern and at Harvard Extension School, including graduate-level material on bias, defensiveness, self-regulation, and quantitative methods.
Undergraduate researchers
I’ve mentored 15+ undergraduate research assistants and honors thesis students through my first-author projects in social cognition, moral judgment, and computational behavioral science.
Places where my work has been discussed.
Selected universities and conferences where I’ve given invited talks, ordered by most recent.
Columbia
2026
Kellogg
2025
MPA
2022, 2024, 2025
UChicago
2025
UIUC
2025
University of Delaware
2025
SPSP
2024
SPSSI
2024
Yale
2024
SICSS
2023
London Business School
2022
Michigan State
2021
Also at
Selected invited and conference talks. The grid shows venues with publicly sourceable marks; the rest appear as text chips below.
Affiliations
Where I do my research and applied work.
SCIP Lab
Social Cognition and Intergroup Processes Lab
Graduate Student
Graduate training
My research home for social cognition and intergroup-processes work.
IPR
Northwestern Institute for Policy Research
Graduate Research Assistant
Graduate training
Where I do policy-facing research that crosses disciplines.
Data Science, Statistics, and Visualization Student Consultants
Northwestern IT Research Computing and Data Services
Student Consultant
Graduate training
Where I consult on applied data science, R/Python, and research computing for researchers across Northwestern.
Collaborator / works closely with Tessa Charlesworth
Graduate training
Collaborating with Tessa Charlesworth on language, AI, and bias change.
Collaborator / works closely with William Brady
Graduate training
Collaborating with William Brady on big-data NLP and moral/emotional dynamics.
Funding + recognition
Fellowships, grants, and honors.
National Science Foundation Graduate Research Fellowship
National Science Foundation
Competitive graduate fellowship supporting my research training across cognitive science, computational methods, and applied AI.
Understanding the Dynamics of Racial Prejudice Reduction
Edward Bouchet Graduate Honor Society Scholar
Edward Bouchet Graduate Honor Society
Honor recognizing scholarly achievement and broader commitments in graduate education.
APA Graduate Student Fellowship
American Psychological Association
Graduate student fellowship from the American Psychological Association.
Clara Mayo Grant
Society for the Psychological Study of Social Issues
Grant support for research on racial prejudice reduction dynamics.
Understanding the Dynamics of Racial Prejudice Reduction
Institute for Policy Research Seed Grant
Northwestern Institute for Policy Research
Seed funding for research I led with Sylvia Perry on defensiveness, bias awareness, prejudice, and interpersonal conversations about racism.
Antecedents and Outcomes of White Fragility in Conversations About Personal and Systemic Racism
Robert Stevens Harper Prize for Graduate Study in Psychology
Knox College
Undergraduate academic award recognizing preparation for graduate study in psychology.
Edith Powers Van Dyke Memorial Award in Psychology
Knox College
Undergraduate academic award in psychology.