Information & Computer Science @ Cornell
I love to code.
And bring ideas to life. ✦
I study Information Science at Cornell, with a Data Science concentration and an Artificial Intelligence minor. My interests span computer science, software development, and AI. I enjoy working with Python, JavaScript, TypeScript, and Java to turn ideas into working applications.
I'm focused on technical roles in software engineering, AI, and data. My projects include research tools, instrument dashboards, web applications, and LLM workflows. I enjoy solving problems, learning how systems work, and refining the details that make software useful.
cocoylh.comResearch constraint-aware LLM reasoning and build RAG and AI agent workflows for retrievable, executable, and verifiable question answering across open-domain knowledge, professional documents, and structured datasets.
Build AI-assisted modeling workflows for ARPES and superconductivity research, linking materials, temperature features, literature evidence, and model-ready experiment records.
Prepare issuer research, market comparables, and client-ready materials for fixed income banking workstreams. Analyze credit fundamentals, transaction precedents, and bond market conditions.
Built a roommate communication prototype by defining user flows, acceptance tests, edge cases, and guided communication workflows.
Conduct due diligence on early-stage healthtech and biotech companies, translating market sizing, unit economics, competitive analysis, and downside risks into investment memos.
Built Excel models and dashboards across 10+ enterprise software firms to evaluate revenue drivers, cash flow sustainability, unit economics, and operating metrics.
Analyzed engagement patterns and tested content strategy adjustments, driving 468% engagement growth and 287% impression growth through data-informed iteration.
Selected and ongoing projects with the product surface, technical stack, and links visible at a glance.
Research Data Product
2026
Searchable research site for ARPES and superconductivity literature, with materials, figures, keywords, and source records in one browser workflow.
Frontend: HTML, CSS, JavaScript
Data: Python extraction scripts, JSON datasets
ARPES Temperature Control Dashboard
2026
Browser dashboard and EPICS IOC for Lake Shore 336 temperature control, with live channel readbacks, ramp/setpoint controls, safety limits, bilingual UI, and CSV logging.
Frontend: HTML, CSS, JavaScript, Canvas charts
Control: Python serial dashboard, EPICS IOC, StreamDevice
Neighborhood Civic Dashboard
2026
Mobile-first civic dashboard that connects residents to local officials, permits, public spending, neighborhood data, and ways to get involved.
Frontend: Next.js, TypeScript, Tailwind CSS, Framer Motion
Data: Open States, Census, USASpending, Mapbox, NYC Open Data
Student Organization Website
2026
Cornell HAMA site for the chapter mission, people, events, alumni network, employers, and member-facing resources.
Frontend: HTML, CSS, JavaScript
Hosting: GitHub Pages, custom domain
Student Organization Website
2026
Cornell Wall Street Club website for member profiles, finance career paths, recruitment resources, club programming, and community information.
Frontend: HTML, CSS, JavaScript, Bootstrap
Hosting: Vercel, custom domain
Behavioral Savings & Food Discovery Prototype
2026
A takeout-style experience that lets users browse realistic meals, skip the purchase, and redirect the same amount toward a personal peace-of-mind fund.
Product: Behavior design, local savings history, nutrition estimates
Frontend: React, TypeScript, responsive multilingual UI
In my free time, I like to take pictures and collect small visual stories from daily life, travel, food, and the places I spend time in.
Financial modeling, forecasting, unit economics, scenario analysis, sensitivity analysis, and valuation.
Python, JavaScript, TypeScript, HTML/CSS, R, Java; statistical modeling, data cleaning, KPI design, A/B testing, financial analysis, LLM workflows, GitHub, Excel, and APIs.
English, Mandarin, Cantonese, Spanish, tennis, and golf.
I'd love to connect about software engineering, AI, developer projects, and technical opportunities. I'm excited to keep learning, write code with a team, and build useful products.