Stay Hungry.

2027

Semester 1 · Offer Accepted

University of Sydney

Bachelor of Arts · Undergraduate Transfer

Admitted to the University of Sydney's Bachelor of Arts program, starting Semester 1, 2027.

2024 —
2026

Shanghai Dianji University

International Economics and Trade (Sino-US Joint Program with UNI)

Academic Standing Top 20% GPA
Language Proficiency IELTS 7.0

Being in

the Room.

Model United Nations

Yale MUN China 2024
UNCCC Philippines delegate badge
Director's desk with gavel
Oxford GlobalMUN - SHSID 2024
Shanghai Pinghe School MUN 2024
OxIMUN China 2025 signature wall
MUNCUS x Pinghe School 2025
Collected along the way: Outstanding Delegate — OxIMUN 2025 Assistant Director — MUNCUS 2025 Honorable Mention — Yale MUN 2024 Honorable Mention — Youth MUN 2024 Oxford GlobalMUN-SHSID 2024

MUN taught me something no textbook could: how to genuinely hold a position that isn't mine and still fight for it. Representing France in the WHO, Italy in the European Council, the Philippines in climate negotiations — each time I had to step into a worldview completely foreign to my own. That process made me fall in love with embracing perspectives I'd never considered before.

It also pushed me down rabbit holes I wouldn't have found otherwise — writing position papers on sanctions led me to study the economics of coercion, debating climate policy pulled me into trade chokepoint analysis, and chairing sessions taught me how historical power dynamics shape every negotiation table. MUN was the starting point for all of my cross-disciplinary research in geopolitics, history, and economics.

But honestly? What I love most is just being in the room. The hallway negotiations at 11pm, the absurd alliances that form over coffee breaks, the moment someone's argument completely rewires your thinking mid-debate. I find real joy and relaxation in socializing and debating — those sparks of insight that only happen when you're surrounded by people who care as much as you do. MUN gave me a space where being intense about ideas is the norm, not the exception.

It's also the best training ground I've found for developing an international perspective, learning to express deep thinking clearly, and sharpening my writing — skills that carry into everything else I do.

Second

Brain.

ChatGPT — competitive advantage
ChatGPT — conceptual momentum
Claude — pattern analysis
Claude — genuine edges

I'm not the kind of person who sits in a library and absorbs knowledge passively. My learning looks more like massive intake followed by collision — podcasts, long-form essays, conversations, action, then reflection. Ray Dalio says 'pain plus reflection equals progress.' I've actually run that formula. But I need something to collide with at all times.

That's what GPT and Claude mean to me. Not a search engine replacement, not a homework tool. A conversation partner that genuinely understands what stage I'm at and what question I'm wrestling with. I throw in my frameworks, my judgments, even my emotional state — and it helps me see the parts I've been missing.

Every framework that forms in my mind — deconstructing an ML technique, grasping the metaphors behind geopolitics, finding the hidden patterns in events that have happened over and over in history — has hundreds of rounds of back-and-forth with AI behind it. It's not thinking for me. It's helping me articulate what I'm already thinking.

I treat models that deeply understand my personality, frameworks, and current situation as a second brain. GPT is the starting point for breadth exploration — it helps me rapidly build a first-layer map of unfamiliar territory. Claude is my partner for depth — it knows my goals, my context, and can dig out the question I actually need to ask. Together, they form the most important piece of my learning infrastructure right now.

When you know clearly what stage you're at, this tool can vastly expand the boundaries of your cognition.

Go to the

Source.

I always prefer to drink from the source. Instead of reading someone's summary or take, I go straight to the original research papers, technical reports, and primary publications. These are dense and often highly technical — which is exactly why I read them alongside AI, working through the material line by line until I actually understand the mechanism behind the headline.