Growing up, I learned the true meaning of compassion, resilience, and service from the women who raised me: my grandmother and great-grandmother. They were the foundation of my life, the people who taught me that strength is not always loud, but often found in quiet sacrifices and consistent love. Everything I am today is rooted in the lesson they instilled in me: to work hard even when life is difficult, to treat others with kindness, and to never lose sight of the bigger purpose behind my struggles. Their unwavering support shaped not only my character but also my desire to pursue a career where I can give that same sense of care and stability to others. Because of their influence, I am currently a Biology major with plans to become a Physician Assistant specializing in oncology. I chose this path because I want to combine science with service in a way that directly improves people's quality of life. I want to be the kind of provider who not only treats medical concerns but also restores confidence and helps patients feel comfortable but also restores confidence and helps patient feel comfortable in their own skin again. My long-term goal is to improve access to quality healthcare while advocating for patients who may feel overlooked or unheard in medical settings. Through my education and future career, I hope to make a meaningful impact by providing compassionate care, educating patients, and supporting underserved communities through every stage of their health care journey. One cause that is especially important to me is improving access to healthcare and health education. Growing up, I witnessed how difficult it can be for families to access the resources and support they need. Whether it was understanding medical information, affording care, or even knowing where to begin, I saw how these barriers often left people feeling frustrated and powerless. Those experiences taught me that healthcare is about much more than treating illnesses; it is about helping people feel seen, heard, and cared for. That understanding continues to motivate me to pursue opportunities in science, volunteering, and healthcare so I can better serve communities that face similar challenges. I believe that quality healthcare should never depend on someone's background, income, or circumstances, and I want to be part of the effort to close that gap. As a college student pursuing a demanding science degree, I am committed to maintaining strong academic performance while preparing for graduate school. However, the financial burden of higher education can add additional stress and limit the opportunities I can pursue outside the classroom. Receiving this scholarship would help reduce financial stress, allowing me to devote more time and energy to my studies, research opportunities, and experiences that will prepare me for a career as a Physician Assistant. More importantly, it would bring me one step closer to achieving my dream of serving patients and making a lasting impact in healthcare. I view my education not only as a personal opportunity but also as a responsibility. Every class I take and every experience I gain brings me closer to a future where I can improve the lives of others. Through dedication, compassion, and service, I hope to honor the sacrifices of those who have supported me and create a positive change in the communities I serve.

My journey into AI and machine learning began out of pure curiosity—curiosity about how Netflix knew what I wanted to watch before I did, or how Siri could respond like a real person. But what started as wonder evolved into a determined pursuit to understand and contribute to the field. During my junior year of high school, I took the initiative to teach myself the foundations of machine learning using platforms like Coursera and Kaggle. I completed Andrew Ng’s Machine Learning course and began experimenting with Python libraries like scikit-learn and TensorFlow. My first independent project was a mental health chatbot, which I built using natural language processing and sentiment analysis. I trained it on a dataset of affirmations and supportive responses to simulate conversational empathy for teens struggling with anxiety. It was a minimal viable product, but it worked, and it helped me see the human side of AI: not just data science, but emotional intelligence at scale. Later, I participated in a local hackathon where my team and I created an AI-powered web app that could scan ingredients from food labels and alert users about allergens or unhealthy additives. We trained a basic neural network model on publicly available nutritional data, and it was my first real experience working collaboratively on a full-stack AI-integrated solution, from backend data cleaning to frontend design. I’m currently exploring how AI intersects with healthcare, particularly in early diagnostics. My interest lies in creating accessible tools that can help underserved communities detect chronic illnesses through simple inputs like images or voice patterns. I plan to major in biology and business administration, which uniquely positions me to bridge the gap between technological innovation and real-world medical impact, especially in communities like the one I come from, where healthcare access is limited and digital tools can make all the difference. That’s when I realized I wanted to bring AI into healthcare, not just as a tool but as a bridge—between patients and providers, between need and access. I plan to double major in biology and business administration at Pepperdine University so I can eventually lead innovations at the intersection of medical science, machine learning, and entrepreneurship. I’m particularly interested in using AI to solve health disparities: developing accessible diagnostic tools for communities with limited healthcare infrastructure, creating low-cost wearable sensors that use ML to flag early symptoms of chronic illness, or launching platforms that use AI to personalize treatment recommendations based on genetic and lifestyle data. I’ve also begun thinking deeply about the ethical side of AI. In school, I led a discussion club on tech equity where we explored issues like algorithmic bias in facial recognition and data privacy in healthcare apps. As I move forward, I want to ensure that the solutions I build are not only accurate and innovative but also safe, transparent, and inclusive. I’m currently working on a project proposal for a wearable patch that monitors hydration and electrolyte levels using biofeedback and machine learning. It’s still early-stage, but I hope that one day, it could help monitor at-risk patients or athletes in real time, offering personalized insights and preventing emergencies before they happen. In the future, I want to lead or found a health tech company focused on AI-powered tools for preventative care. But more than that, I want to advocate for responsible, human-first AI systems that are built with empathy, that amplify access, and that make people feel seen, heard, and helped.