• President of an organization of 400+ high school students. Hosted 30+ events, 10+ faculty lectures, and 3+ national outreach initiatives. Oversaw a team of 7 board of directors.• Worked closely with UCI administration to identify disparities in access to neuroscience. Led a team of 70+ volunteers to create a summer neuroscience curriculum for underserved students.• Spearheaded event for Dana Foundation Brain Awareness Week, reaching 150+ community members and 60+ new K-8 students.• Presented a poster on our work improving high school neuroscience education at Society for Neuroscience 2024 (world's largest neuroscience conference)

• Only high schooler amongst 20 undergraduates selected nationwide for this paid, NSF-sponsored program• Combined machine learning with Gene Ontology, an emerging bioinformatics tool, to create a Random Forest Classifier with ~81% accuracy to predict biological factors involved in early-onset Alzheimer’s. • Identified 5 novel Alzheimer’s-linked biomarkers and genes.• Created poster and gave an oral presentation at capstone symposium to 150+ faculty.

• Developed a Random Forest model using Gene Ontology to classify Autism-linked genes with ~85% accuracy. • Webscraped online genetic data from AmiGO 2 to create a comprehensive database of ASD etiology to train and test the model.• Utilized GOnet and Scikit-learn feature importance to map out and identify 6 novel ASD-linked genes, which are now used in clinical practice to diagnose ASD. • Created an interactive webpage showcasing results and presented research at LEARNMEM 2023 conference.

• 1 of 20 under-18 interns selected to intern at the CHOC Medical Intelligence and Innovation Institute (Mi3)• Brainstormed solutions to current-day healthcare problems through innovation challenges about racial bias in healthcare, the limitations of robotic surgery, and the ethics of nanotechnology. • Worked with cutting-edge medical technologies like AI for diagnostic imaging and wearable medical devices.• Gained insights into healthcare logistics and operations through direct engagement with CHOC's Chief Operating Officer and Chief Human Resources Officer.

• Programmed an operant chamber based on the LBN paradigm using the MED-PC V software. • Developed and implemented a testing protocol to investigate early-life adversity in mice models. • Contributed work to a paper published in Frontiers in Synaptic Neuroscience.

• Used Beautiful Soup to parse, filter, and web scrape 70,000+ news articles. • Applied VADER (natural language processing), Spacy (sentiment analysis), and Linear Regression to conduct a content analysis on how political bias impacts climate change media coverage.• Presented poster on how our results align with Framing theory and Agenda-setting theory

• Developed an original online testing platform to study the ideal consolidation period to optimize spaced repetition and learning. • Self-taught game development and graphic design skills to create an engaging, data-driven testing apparatus, incorporating an adaptive scoring system, timed tasks, periodic obstacles, and 7 unique levels.• Used JASP to conduct ANOVA to identify statistically significant results. • Recognized at Orange County (1st place) and California (Finalist) Science Fairs