Fjord Weaver
A minimalist grid system generator for modern web layouts, emphasizing clarity and structure.
ML Research Scientist at Meta | Princeton PhD
As a research scientist at Meta, I specialize in AI infrastructure and focus on scaling distributed systems. My academic background from Stanford and Princeton provided extensive experience working with large-scale data across diverse biological domains, from cancer genomics to antibiotic susceptibility. I'm passionate about leveraging these skills to scale and productionize ML systems at enterprise level.
Projects
Eco Saga
Typography scale calculator inspired by Swiss design principles for harmonious text hierarchies.
MindMap Odin
Asymmetrical layout builder for clean, functional designs that prioritize readability.
Valhalla
Sans-serif font pairing tool for creating elegant, readable typographic combinations.
Space Aurora
Color palette generator using Swiss color theory for balanced and impactful designs.
Health Rune
Modular component library for structured UI design with emphasis on simplicity and functionality.
Experience
Machine Learning Research Scientist
Specializing in AI infrastructure and scaling distributed systems at Meta. Focused on productionizing ML systems at enterprise scale.
Meta, Menlo Park, California, United States
Machine Learning & Bioinformatics Scientist
Worked on machine learning and bioinformatics solutions for healthcare data analysis and genomic applications.
Tempus AI, Chicago, Illinois, United States
PhD Candidate | Quantitative & Computational Biology
Conducted research in computational biology at Raphael Lab. Worked with large-scale biological data across domains including cancer genomics and antibiotic susceptibility.
Princeton University, Princeton, New Jersey, United States
Bioinformatics & Data Scientist
Conducted bioinformatics research and data analysis in the Ji Research Group, working with large-scale biomedical datasets.
Stanford University School of Medicine, Stanford, California, United States
Machine Learning Engineer
Developed machine learning systems and applications as part of The Dionne Group research team.
Stanford University, Stanford, California, United States
Software Development Engineering Intern
Gained industry experience in software development and engineering practices at Amazon.
Amazon, Greater Seattle Area
Education
Doctor of Philosophy - PhD, Quantitative and Computational Biology
Conducted research in computational biology with applications across biological domains. Developed expertise in large-scale data analysis and AI systems.
Master of Science, Computer Science
Advanced studies in computer science with focus on machine learning and computational systems. Built upon undergraduate foundation with specialized graduate coursework.
Bachelor of Science, Computer Science
Fundamental computer science education with exposure to AI, distributed systems, and computational logic. Laid groundwork for research and industry career.