Experience

R.E.A.L. Discussion

• United States
• Education Administration Programs
• 1 - 100 Employee

• Data Analytics Intern

  • Jun 2023 - Sep 2023

  Empowering Discussion Through Data: Led implementation of a data optimization project, crafting company-branded surveys that captured diverse student experiences with over 3,000 responses. Used GoogleSheets formulas and JavaScript for automated data processing, converting raw data into refined datasets. Designed dynamic student-data dashboards using LookerML and Looker Studios, empowering educators with real-time visualizations and facilitating informed decision-making.



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant at Mordecai Laboratory

  • Jan 2022 - Jun 2023

  Stanford, California, United States Project: Studying how temperature and intraspecific variation affect host-parasite interactions - Applied statistical models and empirical data to study the ecology of infectious diseases in regard to climate change. - Managed mosquito colonies to study parasite interactions between mosquito populations (ciliate cultures, animal husbandry: feed mosquitoes, transfer pupating mosquitoes into cages, pipet ciliate cultures into new media)

• Student Researcher at Mordecai Laboratory

  • Jun 2022 - Aug 2022

  Stanford, California, United States - Used populations of mosquitos and parasites that were collected across a large temperature gradient to design experiments related to predicting disease dynamics under future climate change. - Analyzed experimental results through coding statistical models of infection and growth rates in R (generated confidence intervals by bootstrapping data, graphed thermal performance curves, and ran significance tests between infection rates and factors such as temperature and population). -… Show more - Used populations of mosquitos and parasites that were collected across a large temperature gradient to design experiments related to predicting disease dynamics under future climate change. - Analyzed experimental results through coding statistical models of infection and growth rates in R (generated confidence intervals by bootstrapping data, graphed thermal performance curves, and ran significance tests between infection rates and factors such as temperature and population). - Practiced laboratory techniques such as animal rearing, protist culturing, and infection assays.