
Second-year Biochemistry undergraduate with hands-on experience in instructional support, curriculum organization, and data analysis. Skilled in guiding student development, managing dynamic environments, and executing detailed research projects. Strong communicator and collaborative leader eager to apply problem-solving and engagement strategies to new opportunities.
- Serve as an assistant teacher guiding students through coursework and individual skill development.
- Design, organize, and grade weekly worksheets and learning materials to maintain structured academic progress.
- Provide targeted, one on one support to adapt to diverse student learning needs.
- Manage classroom dynamics to foster a calm, focused, and respectful learning environment.
- Build positive relationships with students to promote consistent engagement and motivation.
- Conducted bibliometric research on Critical Period Plasticity using a dataset of the top 100 most cited articles from Web of Science.
- Analyzed experimental methods like in vivo animal models and electrophysiology to see which techniques have the most research impact.
- Identified key research trends and the transition from sensory models to new areas like neurogenesis.
- Performed statistical analysis to compare the research variety in journals versus the specific focus of senior authors.
- Used RStudio and Excel to process data and visualize citation clusters for a final research poster.
- Conducted bibliometric research on ADHD reward sensitivity using a dataset of the top 100 most cited articles from Web of Science.
- Analyzed publication trends, senior author institutions, and journal distribution to see which networks drive research impact.
- Identified key research themes and the transition from behavioral descriptions of impulsivity to neurobiological, dopaminergic mechanisms.
- Performed keyword co-occurrence analysis to compare specialized clusters, such as ventral striatal pathways, against broader developmental concepts.
- Used RStudio and bibliometrix to process data and visualize keyword co-occurrence networks for a final research poster.
Certificate of Completion with Distinction - ThinkNeuro
An intensive academy in R programming and bibliometric research methods, providing hands-on training in data processing, visualization with ggplot2, bibliometric analysis, collaboration and citation networks, and scientific data interpretation under the guidance of Caltech CS Careers. Distinction awarded for exceptional performance on the final technical examination.
Hours Completed: 30