Bio

I am an African American, first-generation college student, and Ph.D. student in Stanford University’s Civil & Environmental Engineering - Sustainable Design & Construction-Sustainable Urban Systems program. My interests are Renewable Energy, Infrastructure, and Climate Change. I am creating data-driven methods to solve complex global issues. Ultimately, my end goal is to improve the quality of life for communities and a sustainable future.

Honors & Awards

  • IBUILD Program 2022 Honorable Mention Cohort, U.S. Department of Energy (Autumn 2022)
  • NSF Graduate Research Fellowship Program, The National Science Foundation (Autumn 2022)
  • Department of Civil & Environmental Engineering Scholarship, Stanford University (Autumn 2021)
  • Teaching Assistantship, Stanford University / Department of Civil & Environmental Engineering (Autumn 2021)
  • Graduate Research Assistantship, Stanford Urban Informatics Lab (Autumn 2021)
  • GEM Full Fellowship, The National GEM Consortium (Autumn 2021)

Contact

  • Academic
    University - Student Department: Civil and Environmental Engineering Position: Graduate
    University - Student Department: Civil and Environmental Engineering Position: Graduate

Additional Info

  • Mail Code: 4020

Research Interests

  • Civic Education
  • Collaborative Learning
  • Data Sciences
  • Diversity and Identity
  • Economics and Education
  • Educational Policy
  • Equity in Education
  • Higher Education
  • Leadership and Organization
  • Philosophy
  • Poverty and Inequality
  • Professional Development
  • Race and Ethnicity
  • Research Methods
  • Sociology
  • Technology and Education

Current Research and Scholarly Interests

My research at Stanford is focused on reducing inequities in health, education, and society to close the achievement gap. I am leveraging multiple sources of data within the state of California and nationwide to develop a holistic Energy Poverty Index to evaluate and guide policy. My research addresses disparities in primary and secondary schools (K-12) by helping to identify school districts that are most vulnerable and at-risk based on socio-economic, health, and environmental factors.