People / Students / Class of 2026
Summer Sun graduated from Emory University in May 2025 with a Bachelor of Science in Quantitative Sciences and a minor in Computer Science. She has a strong foundation in data science and machine learning, along with a growing interest in the real-world applications of artificial intelligence. Her academic and professional journey reflects a deep commitment to solving socially impactful problems through AI technologies, particularly in fields such as health science and the automotive industry. She will continue her pursuit of data science and technology at Northwestern.
Her interest in AI began during her internship at the Emory Center for AI Learning, where she led the development of an AI-powered chatbot designed to train medical residents in pediatric airway management. Summer contributed to all stages of the project, including backend development with Python, frontend design using JavaScript and CSS, integration and fine-tuning of a ChatGPT-based AI agent, and guiding project sponsors through testing and deployment. She also worked with Science for Georgia, where she learned to process large, unstructured environmental science datasets. She built a project focused on flooding in Georgia and successfully communicated the findings to the public through accessible data stories. To explore AI applications in industrial settings, Summer joined the LLM development team at Autocore, an autonomous driving company, in summer 2025. In a product manager–like role, she helped build AI-driven development workflows tailored to the automotive industry. Her responsibilities included translating customer requirements into intelligent AI pipelines, prompt engineering, workflow design, implementation testing, and end-user onboarding. She played a key role in bridging technical and non-technical teams, ensuring clients could effectively use AI tools to optimize software development. This role further deepened her passion for human-centered AI, product thinking, and scalable machine learning deployment. In addition to her internships, Summer has worked on various data science projects, including diabetes prediction using machine learning and adversarial attacks on deep learning models.
As a new member of the MLDS program, Summer is excited to strengthen her technical skills and gain a deeper understanding of AI product ecosystems. She is particularly interested in industries such as gaming, healthcare, and autonomous vehicles, where data-driven insights can drive meaningful innovation. She is actively seeking part-time and full-time internship opportunities and aspires to grow into a data scientist, product manager, or machine learning engineer. She strives to contribute to the responsible development and deployment of AI-powered technologies.
