Duke University

Ph.D. in Sociology, 2023

Doctoral Student at The International Max Planck Research School for Population, Health, and Data Science (IMPRS-PHDS)

Research Focus: Computational Social Science, Social Network Analysis, Adolescence, Metal Health, Health-Risk Behaviors

M.A. in Sociology, 2020

Research Focus: Medical Sociology and Social Network Analysis

University of California, Davis

B.A. in Sociology, 2017

Emphasis in law and society

Languages: Advanced with R and LaTeX, proficient with SQL, familiar with Python

Methods: Regression (logistic, linear), causal inference, multilevel modeling, mediation, survival analysis, social network analysis (ERGM/TERGM, SIENNA/SAOM, dyad models), predictive modeling, geospatial analysis, A/B testing

Tools: R Shiny, Tableau, QGIS, Qualtrics, Github, Dedoose, LLMs (Claude, ChatGPT)
ggplot2, rmarkdown

Version Control & Collaboration: GitHub (2 years of experience)

Research Scientist/Research Public Health Analyst, RTI International, Center for Behavior Health and Well-Being Research (2023-Present)

Designed, programmed, and managed a $2M NIH-funded study survey in Qualtrics.

Developed protocols for survey fraud, participant compensation, and data quality management.

Built linkage systems and crosswalks to merge and manage longitudinal survey data and
administrative data across multiple sources (voter data, education data, criminal justice
records)

Conducted advanced statistical analyses for manuscripts, including causal inference and
social network analysis methods, to identify drivers and moderators of behavioral outcomes

Served as a data reviewer, quality control analyst, and statistical analyst for the NIH HEAL Initiative, managing the full life cycle of multiple large-scale research programs.

Created data visualizations, dashboards, and summary reports using survey data for internal
stakeholders and public dissemination, communicating research findings to diverse audiences

Developed an automated codebook process in R, cutting manual work by 300+ hours.

Leveraged large language models (LLMs) to enhance code development workflows, improve
documentation quality, and ensure reproducible research practices across 10 multi-site data
harmonization projects

Provided technical consultation to colleagues on collecting and analyzing social network data.

Presented research findings though data storytelling and visualization to broad audiences at the International Network for Social Network Analysis Sunbelt Conference, The Max Planck Institute for Demographic Research, and the American Sociological Association.

Visiting Researcher, The Max Planck Institute for Demographic Research, Digital and Computational Demography Lab (2022)

Developed and validated a novel measure of network stability to capture patterns of
friendship consistency over time, applying advanced longitudinal network analysis
techniques to adolescent social network data

Presented research findings on network stability measurement and adolescent social network
dynamics to interdisciplinary audiences of demographers, sociologists, and data scientists at
institute seminars

Facilitated methods reading groups focused on computational and statistical approaches to
network analysis, fostering collaborative learning among doctoral researchers and
postdoctoral fellows

Provided methodological consultation to graduate students and researchers on social network
data collection, analysis strategies, and visualization techniques for demographic and health
research applications

Participated in dissertation editing workshops, offering peer review and feedback on
analytical approaches, research design, and manuscript development for fellow doctoral
students

Collaborated with international researchers in the Digital and Computational Demography
Lab, contributing to discussions on innovative applications of network methods to population
health questions

Graduate Researcher, Duke University, Duke Network Analysis Center (2017-2023)

Lead author of a publication instructing on data visualization best practices and techniques.

Led project data collections, conducted social network analysis, and applied statistical methods, examining topics such as team dynamics, social determinants of health, and network stability.

Served as an instructor and mentor for an annual NIH R25 training program on social
networks and health, training 100+ academics and practitioners per year in R programming,
focusing on data cleaning, network modeling (including causal inference in peer effects,
complex data collection, communities and roles, and dynamic statistical modeling), and
visualization with emphasis on reproducible code practices

Provided individual consultation to workshop attendees on network analysis methods, study
design, and project-specific applications, mentoring researchers in developing their analytic
skills

Designed and taught a semester-long Business Management & Social Network Analysis course, training future consultants in SNA methods for organizational and inter-company analysis.

Developed an introductory lecture and tutorial on social network analysis basics and presented to 200+ undergraduates.

Provided technical consultation on statistical research design and social network research design to external organizations.

Mentored undergraduate students as a tutor for Sociology courses including quantitative
analysis and research methods

Graduate Researcher, University of North Carolina Chapel Hill, Gillings School of Public Health, Department of Health Behavior (2021-2023)

Assisted in securing a 3-year grant worth $2M, providing support for the project by producing descriptive statistics, network visualizations, and writing literature reviews.

Performed quantitative and statistical analysis of survey data, including advanced modeling
techniques (TERGM, HLM), and prepared graphs, tables, and visualizations for written
reports and presentations

Developed and validated survey questions on health behaviors and personal social networks.

Programmed a large-scale Qualtrics survey with advanced display and skip logic.

Moving beyond the Pain-Suicidality Link: An Investigation of Fluctuations in Social Threat
and Neural Response to Social Threat in Momentary Pain and Proximal Risk for Suicidal
Ideation in Adolescence (2025-Present)

Statistician. This longitudinal study examines how social threat influences the relationship
between physical pain and suicidal ideation (SI) in adolescents. We are recruiting 200 youth ages
14-17 with recurrent musculoskeletal pain to investigate how exposure to social threat predicts
momentary increases in pain and proximal SI risk. Youth complete baseline fMRI scans
measuring neural responses to social threat and participate in ecological momentary assessments
tracking real-world fluctuations in social threat, pain, and SI. This research addresses critical gaps
in understanding short-term SI risk factors during a developmentally vulnerable period.
Responsible for data analysis.

A Micro-Randomized Trial of JITAI Messaging to Improve Adherence to Multiple Weight
Loss Behaviors in Young Adults (2025-Present)

Statistician. Digital, mobile-delivered obesity interventions have the potential to reach a wider
population than traditional in-person programs but to date have not resulted in similar weight
losses. Newer digital approaches called just-in-time adaptive interventions (JITAIs) offer
adaptive, personalized feedback “when needed” and in “real time,” but there has been no
examination of what types of support are needed for weight loss, for whom, and in what
behavioral contexts. This study uses a micro-randomized trial to systematically test the effects of
behavior change techniques on achievement of daily behavioral goals to optimize message
delivery in a comprehensive weight loss JITAI. Responsible for data analysis.

HEAL Prevention Cooperative Coordinating Center; Methods and Data Team (2023-Present)

Quality Control Reviewer and Statistician. The Helping to End Addiction Long-term (HEAL)
Prevention Coordinating Center (HPCC) supports 10 cooperative research projects and works to
generate shared insights by collecting, analyzing, and reporting data across research projects. The
HPCC has five aims. (1) Facilitate HPC coordination and communication, including the
dissemination of systematic reviews and other scholarly works. (2) Provide implementation
science consultation. (3) Establish data infrastructure. (4) Provide data harmonization and
methodological and statistical consultation. (5) Support economic evaluation across research
projects. Responsible for review and quality control of submitted data and communication with
participating research organizations. Provides statistical support for data management and quality
control and primary analysis for publications.

Measuring the Impact of Structural Racism and Discrimination During Adolescence on Substance Use, Psychological Distress, and Criminal Justice Outcomes in Adulthood (2022-Present)

Research Analyst/Statistician. The purpose of this study, funded by the National Institute on Drug
Abuse, is to measure the short- and long-term health and justice system consequences of
adolescent exposure to structural racism and discrimination. Responsible for survey
programming, analyzing data, writing manuscripts for publication, and contributing specialized
knowledge on collecting and analyzing social network data.

Focused Training in Social Networks and Health (2018-2024)

Research Assistant/Instructor. National Institutes of Health R25 training grant. This program provides comprehensive training on the core ideas of social network analysis relevant for health training to produce a cohort of researchers prepared to leverage new network data for promoting health. Training topics include causal inference in peer effects (including experiments), complex data collection, advanced network inductive techniques (communities and roles), simulation and computational modeling, and dynamic statistical modeling. Responsible for presenting training workshops, consulting on individual projects of workshop attendees, and assisting with administrative organization of the workshop week.

Building Better Teams (2019-2021)

Research Assistant. The purpose of this research was to explore the individual, group, and contextual mechanisms that facilitate effectiveness in teamwork. This project consisted of four undergraduate student teams participating in a summer research program. Students worked in teams and completed questionnaires regarding their individual experience and team dynamics. Responsible for programing and disseminating weekly online survey, cleaning survey data, conducting statistical analysis, and writing data collection details and regular analysis results in a report for the research team.

Yule, Amy M., Amy S. B. Bohnert, Ty A. Ridenour, Barrett Montgomery, Timothy E. Wilens, Maureen Walton, Erin E. Bonar, Lisa Saldana, Lynn E. Fiellin, Danica K. Knight, Yang Yang, Jason Williams, Sazid Khan, Liann Tucker, Feker Wondimagegnehu, and Kym Ahrens. 2025. “Cross Sectional Multi-Sample Study of Nonfatal Overdose in Adolescents and Young Adults in the Fentanyl Era.” Drug and Alcohol Dependence 276:112921. doi:10.1016/j.drugalcdep.2025.112921.

Faris, Robert and Liann Tucker. 2022. “Status Motivation, Network Stability, and Instrumental Cruelty.” Pp. 120–38 in The Sociology of Bullying: Power, Status, and Aggression among Adolescents, edited by C. Donoghue. New York: NYU Press.

Tucker, Liann and James Moody. 2020. “Visualization Techniques.”Sage Research Methods Foundations: Quantitative Data Preparation & Secondary Data Analysis, edited by P. Atkinson, S. Delamont, A. Cernat, J. W. Sakshaug, and R. A. Williams. Thousand Oaks, CA: SAGE Publications.

https://methods.sagepub.com/foundations/visualization-techniques

The Effects of Friendship Withdrawal and Rejection on Suspension and School Drop Out. Sunbelt, International Network for Social Network Analysis, Paris, France. June 2025

Inter- and Intra-Racial Victimization and Consequences to Mental Health. Sunbelt, International Network for Social Network Analysis, Edinburgh, UK. June 2024.

Individual and dyadic predictors of friendship dissolution. American Sociological Association, Philadelphia, PA. August 2023.

Network stability and threats to self and others. American Sociological Association, Los Angeles, CA. August 2022.

Status motivation, network stability, and instrumental cruelty. American Sociological Association, Los Angeles, CA. August 2022.

Friendship formation and dissolution: Individual and dyadic contributions. International Max Planck Research School for Population, Health, and Data Science, Rostock, Germany. December 2021.