Manager: Tunji Oki, PhD
Location: Chicago, IL (remote)
Dates: April 2022-Present

  • Use rigorous social science research to ensure equitable people process outcomes, inclusive experiences, and improve representation for underrepresented groups across Google.
  • Led multiple large-scale quantitative and mixed-method analyses presented to the CEO, Chief Diversity Officer, and executives in People Analytics, Benefits, Recruiting, and YouTube.
  • Used longitudinal multilevel modeling and supervised machine learning to unveil the top predictors of employee adjustment during COVID-19, which led to company-wide dissemination of self-compassion interventions and a Talks @ Google event with Dr. Kristin Neff.
  • Designed and evaluated a technology-based experimental study for employees exposed to sensitive material at YouTube, which led to reductions in trauma symptomatology.
  • Served as the primary methodologist for transition-to-hybrid research, which directly informed Google's hybrid policies and highlighted the needs of underrepresented parents and caregivers.
  • Evaluated the efficacy of Google’s racial equity programs using propensity score matching; findings were featured in Google’s 2024 Diversity Annual Report.
  • Used machine learning and longitudinal mediation to conduct an equity-based employee lifecycle analysis, directly changing processes in recruiting, hiring, and performance evaluation.
  • Conducted cross-cultural parent-child user experience research on artificial intelligence and child online safety.
  • Used large language models to enhance research summarization and dissemination processes within the people analytics function.
  • Served as a grant reviewer for Google’s Award for Inclusion Research and Research Scholar programs.
  • Mentored 5+ PhD interns to increase quantitative skillsets and teach analytic best practices.
  • Founder and lead of Cancer Survivors @ Google employee resource group, which serves >600 employees globally. Helped scope, receive legal approval for, and design a user experience study using artificial intelligence with cancer survivors.
Manager: Valerie Shapiro, PhD
Location: Berkeley, CA (remote)
Dates: January 2022-June 2023

Responsibilities: Using grant funds from Gavin Newsom, evaluated the efficacy of socio-emotional learning (SEL) on child development in schools across the Northern California region. Used data insights to inform the development and implementation of a continuous improvement process aimed at improving systemic social-emotional learning in California. Supported the development of measures for systemic social-emotional learning; prepared data for sharing with communities of practice. Supported the development, analysis, and writing of materials for sharing learnings with government, private, and university stakeholders. Consulted on the development and implementation of micro-surveys for the Greater Good in Education website to assess teachers’ use of evidence-based SEL tools globally.
Dates: February 2019 - Present

Responsibilities: Design program evaluation and randomized controlled trials for public and private institutions to examine intervention effectiveness among low-income women, parents, and families domestically and across low- and middle-income countries. Examples include evaluating an RCT of mental health and literacy interventions in Zambia, evaluating the efficacy of a child sexual abuse intervention for low-income women in the US, examining the impact of media use on IPV attitudes among men in Honduras, evaluating the efficacy of a neurofeedback intervention among low-income children with complex trauma in Utah, and evaluating the efficacy of a mother-child relational intervention in Mexico. Conduct complex statistical analyses for university professors on parent-child primary and secondary longitudinal data to assist in publication in high-impact journals. Publish findings in peer-reviewed journals; present findings to program executives and make recommendations for program modification. Projects thus far have utilized path analysis, propensity score matching, multilevel modeling, longitudinal mediation analysis, latent class analysis, growth curve modeling, and categorical data analysis in Stata, Mplus, and R.
Manager: Aiwa Shirako, PhD
Location: Mountain View, CA (remote)
Dates: May 2021-August 2021

Responsibilities: Examined Google employee psychological adjustment during COVID-19. Conducted multilevel modeling and longitudinal data analysis in R. Findings served as the foundation for the YouTube Mental Health 2022 focus and expanded dissemination of employee wellbeing resources. Wrote a literature review on mental health risks and interventions for employees who deal with sensitive material (DWSM). Results informed survey items included in the DWSM Q3 survey, changed candidate screening procedures, and informed DWSM program direction. Designed a technology-based experimental study for DWSM employees. Contributed to survey design and item selection. Successfully navigated legal and privacy recommendations and requirements. Present results to Google executives and make recommendations regarding Google employee policy.
Supervisor: Shawna J. Lee, PhD
Location: Ann Arbor, MI
Dates: September 2018 - Present

Responsibilities: Examine parenting and family processes across contexts using survey data from the Fragile Families and Child Wellbeing Study (FFCWS), UNICEF MICS, Building Strong Families (BSF), and the Panel Study of Income Dynamics (PSID). Utilize Bayesian estimation, longitudinal modeling, mediation and moderation analysis, categorical data analysis, piecewise analysis, latent class analysis, and structural equation modeling in Stata, Mplus, and R.
Supervisors: Stacey A. Shaw, Ph.D., Gordon E. Limb, Ph.D., Taeya Howell Ph.D.
Location: Provo, UT
Dates: August 2016-July 2018

Responsibilities: Gathered and analyzed survey and intervention data from samples of vulnerable populations to elucidate risk and resilience factors. Prepared and published multiple quantitative and mixed methods manuscripts for publication. Assisted in writing, obtaining, and utilizing a $22,000 grant. Designed and implemented a randomized-controlled trial of a parenting intervention among
refugees in Malaysia. Analyzed archival, experimental, qualitative, and longitudinal survey data and prepared manuscripts for publication.
Analyzed quantitative and qualitative survey data from AmeriCorps supervisors. Wrote program evaluation document for the AmeriCorps program in Utah.