Founder & President

Founded a youth-led 501(c)(3) nonprofit organization dedicated to bridging the generational digital divide by providing free technology education and resources in English and Spanish to children and seniors. Led the full setup of the organization and secured federal 501(c)(3) status. Created the Kids Learn Tech program to teach coding and internet safety to children ages 8–12, and launched the Seniors Learn Tech program to bring the same curriculum to older adults. Both programs include instruction in Python, JavaScript, internet safety, and digital literacy. To date, Tech 4 Now has served 1,000+ children and seniors in 6 countries and raised $5,000+ in donations. The organization is supported by Google, Microsoft, OpenAI, Anthropic, Canva, HP, Dell, and Lenovo. Programs are currently active in libraries, schools, and community centers in Florida, New York, and across Latin America. Built and maintain the organization's website, developed the curriculum, and lead outreach, volunteer recruitment, and community partnerships.

Machine Learning Research Intern

Conduct research on machine learning-based trajectory analysis of single-cell RNA sequencing data with Scanpy to map interneuron developmental progression and identify accelerated differentiation in cyclin D2 knockout versus wild-type mice in the Data Science and Computational Biology (DSaCB) Lab under Dr. Vanessa Aguiar-Pulido. Using Python and Scanpy, implement machine learning methods including preprocessing, dimensionality reduction with PCA and UMAP, unsupervised clustering with Leiden, batch correction with Scanorama, and trajectory inference using PAGA with diffusion pseudotime to map developmental trajectories. Presented findings at the ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB). Previously examined the overlap between poison exons and minor intron genes, exploring their potential role in disorders such as Dravet Syndrome.

Youth Leader

Selected as the first and only Youth Leader from Florida on a national team to develop innovative strategies that promote healthier technology and AI use through this youth-led peer mentoring program exploring the ME in media. Contribute evidence-based resources, presentation materials, and interactive activities supporting media literacy and intentional engagement with digital spaces. Meet weekly to analyze technological trends, track progress, and plan upcoming projects. Presented workshops at Stanford University's Tech-X: Mental Health + Technology Immersion Experience and the San Diego Museum School. Helped create the Workshop Leader Training program to prepare youth to become GoodforMEdia workshop facilitators in their communities, and served as a trainer for the selected participants. Developed a 9-page guide titled "AI in the Digital World: A Guide for Teens" that covers topics such as chatbots, deepfakes, misinformation, mental health impacts, the role of AI in education, and how youth can approach AI in everyday life.

Student Ambassador (Oct 2024 – May 2026); Community Leader (Apr 2025)

Selected from hundreds of applicants globally as a Student Ambassador representing Florida to recruit and support Technovation Girls participants by hosting outreach presentations that introduce girls to technology entrepreneurship and promote STEM education and technology literacy in their communities, mentoring participants from registration to submission and reaching 80+ schools, libraries, community centers, and district superintendents across Florida. Served as a stipend-awarded Community Leader, managing the Student Ambassador communications platform, creating content for the monthly newsletter, and hosting virtual workshops for the global ambassador community. Invited to share journey as a 2024 Global Semifinalist and Student Ambassador through outlets including EY and SmartBrief. Published Flip the Switch, a cross-platform AI-powered mental wellness app, in Technovation's AI in Action curriculum and as an SDG 3 Power Solution, equipping 300,000+ students globally to create health-focused technology solutions. Chosen from 41,000+ alumnae to host the 2025 Technovation Global Celebration for young innovators worldwide to unite around technology's power for change.

Machine Learning Research Intern

Conducted research on computational modeling and machine learning approaches to individual decision-making variability in the Artificial & Biological Computation Lab under Dr. Cristina Savin and Dr. Harsha Gurnani. Analyzed behavioral data from 414 rats performing a temporal wagering task across 15.9 million trials, investigating how structured behavioral variability reveals individual differences in decision-making strategies. Using Python, implemented behavioral analysis including psychometric curves, opt-out curves, and transition dynamics, computational modeling with 5-parameter Bayesian inference including opportunity costs and inference levels, unsupervised learning with PCA, k-means clustering, and kNN regression, and neural decoding with LDA and cross-validation. Selected as one of 34 students internationally for the competitive NYU GSTEM program. One of 10 recipients of the Winston Data Scholarship, a merit-based scholarship covering full tuition for the program and a data science course. Authored a 16-page research paper and was chosen as one of the top 4 oral presentations to present at the annual symposium to 200+ attendees.

Student Leader (July 2025 – May 2026); Participant (Oct 2023 – May 2025)

Appointed Chair of Moderation for the 2025–2026 academic year, leading 500+ accepted participants globally in exploring cutting-edge neuroscience research. Responsibilities included running meetings, introducing invited speakers, moderating Q&A, and preparing guiding questions to support productive discussion of their research. As a participant from 2023–2025, actively analyzed and discussed current neuroscience research in monthly meetings with peers and Stanford researchers. Presented scientific papers, fostering critical thinking and strengthening skills in scientific communication. Engaged in collaborative discussions to deepen understanding of complex neurological concepts.

Alumni Ambassador (Jan 2025 – Present); Participant (Jul 2024)

Selected from 10,000+ applicants. Participated in the Innovations in Science and Technology (IST) session, attending lectures on topics including neural mechanisms of music-based therapy, sustainability through biomimicry, and robotics in education. Engaged in seminars such as "Hello World" in React Native and Navigating AI Safety, exploring key concepts in mobile app development and ethical AI. Developed NeuroBridge, an adaptive AI application to improve communication for individuals with autism, as part of a capstone project in the field of computer science. Chosen to present AuthentiCheck AI, a web platform that leverages machine learning to assist teens with distinguishing accurate content from AI-generated misinformation, at the Speaker Series to an audience of 600+ students and professors. As a current Alumni Ambassador, engage with prospective students and families to promote the YYGS program, host information sessions, and guide applicants through the admissions process.

Certified Tutor

Provide one-on-one academic support to 6th-12th grade students in Computer Science, Math, Biology, Chemistry, American History, World History, and English. Certified across 33 subjects. Assist students in mastering challenging concepts, improving study strategies, and achieving their academic goals through personalized tutoring sessions.

Co-Founder & Co-President

Grew the school's chapter to 25+ members, building a supportive space for students to explore technology through hands-on learning and mentorship. Organize and lead meetings using the official Girls Who Code curriculum, covering web development, cybersecurity, data science, and AI. Invite guest speakers and mentor members as they build projects, tackle challenges, and prepare for competitions.