Core Skills & Expertise
AI Fluency & Applied Innovation: Deep understanding of AI tools and trends, with the ability to integrate them creatively into workflows, product development, and problem-solving strategies.
Full-Stack Software Development: Proficient across the stack with experience in HTML/CSS, JavaScript, React, Node.js, Python, MySQL, and deployment tools including GitHub and Vercel.
No-Code & Low-Code Tools: Skilled in integrating platforms like Airtable to rapidly prototype and deploy data-driven web applications.
Website Design & UX: Strong design sensibility and wireframing experience using Figma, with a focus on clean, user-centric design.
Statistics & Data Analysis: Solid foundation in statistical modeling and data interpretation—combining academic rigor with real-world insight to drive data-informed decisions.
Academic Software & Research Tools: Experienced in building and maintaining Python libraries, publishing on PyPI, and supporting academic and research environments with robust, documented codebases.
Creative Problem Solving: Bonus skill—expert prop crafter, bringing creativity, precision, and a hands-on mindset to both technical and artistic challenges.
My Journey
I am both a scientist and a creator. I have a deep curiosity about how things work and a constant drive to build and innovate. I’m always exploring new ideas and expanding my technical skills—often with a book in hand or a code editor open.
I earned my PhD in Chemistry from Stanford University, where I focused on Bayesian statistics and their application to computational systems for studying protein folding. I continued my training as a postdoctoral fellow at the Stanford School of Medicine, where I developed software tools for inferring genetic ancestry from genomic data.
After my postdoc, I joined 23andMe as a scientist. There, I worked to better understand the relationship between genetics and disease and helped communicate genetic insights to the public. I helped gain FDA approval for direct-to-consumer genetic testing.
I then teamed up with Heather Holmes to co-found TapGenes, which later rebranded as Genivity and was eventually acquired by Lumiant. As co-founder, I led efforts to assess health risks based on lifestyle and family health history and helped develop predictive models for lifespan and healthspan, particularly for use by financial advisors.
Following that, I launched my own consulting company, providing data science and technical support to early-stage ventures. Lumiant was my first client, and I continue to support organizations that need scientific insight and analytical expertise.
In the fall of 2024, I joined Valyria Studios as a developer and designer under the mentorship of Lorenzo Barberis Canonico. At Valyria, I’ve worked on a wide range of projects: building a website for a local farm, developing a web app and recommendation tool for a Stanford program, supporting a nonprofit for foster youth, and assisting a Stanford professor with Python libraries and technical workflows.