A MyFashionSpace original · Now showing

Minh Nguyen

they / them

code, capital & couture.

I’m a senior at Dartmouth from Vietnam, double majoring in Computer Science and Mathematics. I work with models of every kind—machine-learning models, financial models, and the runway kind—and I’m building MyFashionSpace, the house this site belongs to.

  • Dartmouth ’27
  • CS (Honors) & Math
  • GPA 3.91
  • Magnetar Capital ’26
  • FPT Software ’25
Minh Nguyen in a tailored oatmeal blazer and white wide-leg trousers, standing against a cream wall that holds a hard shadow.

MyFashionSpace presents

In my own lane

First runner-up
SV.STARTUP 2022

Rufus Choate
Scholar

Starring Minh Nguyen · A documentary in six chapters · Filmed in Vietnam, Hanover & Evanston · Inspired by Mom

Now showing Fall 2026

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Prologue · Who I am

Hi, I’m Minh.

I’m from Vietnam. I’m non-binary and trans, and I’m gay. I’m also a senior at Dartmouth, double majoring in Computer Science and Mathematics.

Academically, I love AI and machine learning. Professionally, I love business and trading. Passionately, I love fashion and modeling. And I have a big heart: I love helping people.

I strive to combine all of those into my work.

Minh Nguyen On AI, markets, fashion & a big heart

So most of what I’ve built has a person on the other end of it: the Deaf community in Vietnam, patients waiting for care, elders and children who need someone watching out for them—and now, fashionistas looking for a space of their own.

My motivation is my mom. You’ll meet her in Chapter Six.

Minh Nguyen · Dartmouth ’27

Minh smiling beside a lake with green mountains behind, sunglasses pushed up, in a pale-blue fitted tee.
Off duty.

Subject file

Name
Minh Nguyen
Pronouns
they / them
From
Vietnam
Now
Senior, Dartmouth College ’27
Studying
Computer Science (Honors) & Mathematics
GPA
3.91 · Rufus Choate Scholar

Chapter One · Experience, 2021–2025

Built for people.

Three projects, three communities: a sign-language translator, faster access to care, and cameras that call for help.

96% — Of the 308 Deaf people and people with hearing loss I surveyed in Vietnam, 96% said communicating was difficult. So I built a translator.

Scene 01 · Vietnam · 2021–2023

Signtegrate

My high-school start-up

A real-time Vietnamese Sign Language translator. I collected and annotated 394 sign videos, tracked hands and body with a MediaPipe pipeline, and trained a DD-Net model that recognizes signs in under a second, at 70.1% accuracy.

First runner-up, SV.STARTUP 2022, Vietnam’s national student start-up competition

Made for the Deaf community in Vietnam

Scene 02 · Hanover, NH · 2024

Patient-access research

Dartmouth · FYREE fellow, then E. E. Just summer intern

I cleaned and queried 11,000+ anonymized patient-flow and scheduling records from five Dartmouth-Hitchcock clinics, then built discrete-event simulations in AnyLogic and SimPy to test new scheduling strategies. In simulation, they cut average waits by 25% and raised 10-day patient access from 14–28% to 55%.

Made for patients waiting for care

Scene 03 · Hanoi · 2025

FPT Software

AI Computer Vision Engineer Intern

I worked on a camera-based safety system designed to spot falls—especially for elders and children—and alert firefighters, police, and hospitals. I crawled 10,000+ images across five poses, auto-labeled a 100,000-image dataset (70% less manual labeling), and served a real-time vision-language model on a Jetson Nano with 40% lower latency.

Also: I diagnosed a NAT port-mapping issue between a WebRTC client and NVIDIA Omniverse Isaac Sim running in Docker.

Made for elders, children, and the responders who reach them

By the numbers

Chapter Two · Finance, 2025–2026

Follow the money.

A valuation at Tuck, then a summer in alternative credit at Magnetar Capital.

Scene 04 · Hanover, NH · December 2025

Tuck Business Bridge Program

AECOM valuation · Tuck School of Business

My team built a three-statement model and a DCF for AECOM, projecting $22.6B in revenue and $1.1B in EBIT by 2029: a $109.56 base-case share price, about 11% upside, which we presented to executives and faculty. I led the AI and proprietary-software analysis, turning adoption scenarios into the margin, CapEx, working-capital, and free-cash-flow assumptions.

Made for executives and faculty at Tuck

Scene 05 · Evanston, IL · Summer 2026

Magnetar Capital

Alternative Credit & Fixed Income Summer Analyst

Minh, second from left in a beige suit, with six members of the Magnetar summer team in a presentation room.
With my Magnetar summer team. I’m second from left.

The credit call

I forecast financial statements for high-yield auto manufacturers to test whether each could generate cash, cover its interest, refinance the debt coming due, and stay liquid—then weighed that against default risk and CDS spreads. I presented my recommendation to the firm’s managing partner and senior investment managers: sell five-year CDS protection on two of them.

Selling protection means collecting a regular premium in exchange for covering losses if a company defaults.

The nuclear thesis

I compared near- and long-term demand for HALEU, the fuel most US advanced reactors are designed around, and assessed reactor developers on liquidity, debt, deployment timelines, licensing risk, government support, customer contracts, and dependence on hyperscalers. Mapping the road from licensing to fuel production, I identified centrifuge manufacturing as the bottleneck. My recommendation—asset-based investments in HALEU enrichment facilities, with their cash flows as collateral—was selected over competing AI-power ideas.

Made for Magnetar’s managing partner and senior investment managers

Why nuclear? Read Chapter Three

Chapter Three · What I’m learning

Everyone’s watching AI. I’m watching the power.

AI runs on data centers, and data centers run on power. That’s why I’ve been following nuclear: firm, clean, and, I think, the next big source of power for data centers.

Personal research notes · As of September 2026 · Views my own, not any employer’s · Not investment advice

June 23, 2026 The Department of Energy announces up to $17.5B in conditional loans to help build 10 large nuclear reactors Source: energy.gov

  1. The demand

    AI is spreading into every industry: LLMs today, vision-language models and robotics next. Hyperscalers are spending billions on the data centers to run it all, and those need an enormous amount of power, around the clock.

  2. Firm and clean

    Renewables are intermittent, and the 2026 Middle East crisis has left global gas markets tight and volatile. Nuclear runs day and night, without the carbon.

  3. The funding gap

    Many next-generation reactor developers are pre-revenue with no credit ratings, burning cash on units targeted for around 2030 to the early 2030s. For now, their cash flow hinges on government support and early commitments from big power buyers.

  4. The catalysts

    In June, the DOE announced up to $17.5B in conditional loans to help build 10 large AP1000 reactors: Washington putting its balance sheet behind new nuclear. Amazon, Google, and Meta have signed nuclear deals too, from equity stakes to prepayments.

  5. Who benefits

    Many of those deals are staged or early-stage, so the sooner reactors get built, the sooner that money turns into revenue. For the banks and funds behind reactor developers, news like this signals potential mega deals ahead.

  6. The bottleneck I flagged

    Advanced reactors need HALEU: uranium enriched to between 5% and just under 20%. When I mapped the path from licensing to fuel at Magnetar, the choke point was enrichment—how fast the US can manufacture the centrifuges to make HALEU at scale.

What would change my mind: licensing delays, reactor timelines that keep slipping, customer agreements that never turn binding, and enrichment capacity that arrives after the demand does.

Sources: DOE loan announcement · IEA Gas Market Report, Q3 2026 · DOE: What is HALEU?

Chapter Four · MyFashionSpace

The house I’m building.

Since spring 2026, I’ve been building MyFashionSpace: a glamorous, Y2K-designed home for fashionistas.

At its heart is a social platform where fashionistas make friends, style their own closets with a personal AI stylist, and sell their couture on an auction marketplace. This site is its newest wing: fashion-first financial intelligence, following the headlines, financials, and deals behind beauty, fashion, and modeling—where my love of markets meets my love of fashion.

Mood imagery · MyFashionSpace campaign board

Off the clock, I do photoshoots, runway walks, and castings.

Join the early-access list

Chapter Five · Community

Out, and all in.

I’m non-binary and gay, so LGBTQ+ advocacy is personal to me.

A group of students wearing conference lanyards, posed in a row against a blue wall at the O4U Digital 2025 conference.
At O4U Digital 2025

I love teamwork, leadership, and being a trailblazer.

Minh Nguyen On community

Out

  • WITHIN I lead it The biggest LGBTQ+ advocacy group on campus
  • Triangle House Dartmouth’s LGBTQ+ living-learning community
  • The Tabard My gender-inclusive fraternity
  • Out for Undergrad (O4U) Campus Ambassador at Dartmouth · O4U Digital 2025 · O4U Mentorship
  • Out in Tech Member of the global LGBTQ+ tech community

All in

  • Women in Business (WIB) & Smart Woman Securities (SWS) New Two women-in-finance clubs at Dartmouth. Joining them marks my start in womanhood, and a new step in my career.
  • Vietnamese Student Association Former Vice President
  • Quant Club
  • Tech Consulting Group
  • CodePath

Chapter Six · Motivation

The closet she opened for me.

Minh and their mom smiling together at night, Minh's arm around her, with colored lantern lights reflected in the river behind them.
My mom and me.

Knowing that I’ll always have her beside me—that drives me.

Minh Nguyen On my mom

My mom is hard-working, ambitious, and so caring. In her twenties, she was the CFO of a tech start-up, before she gave her career up for our family.

The day before my flight back to college, she took me to a closet she had kept tucked away for decades. It was full of her clothes from her own college years in the 2000s. She had great fashion sense. She told me to pick whatever I wanted for college.

I was so emotional. Ever since coming out as non-binary and trans, it has felt ten times harder to navigate life and acceptance back home in Vietnam, where many people still hold traditional, conservative views.

I know I’ll always have her beside me, and I know how much she has sacrificed for me to be who I am today. That’s what drives me—in AI, in finance, and on the runway. Someday, I’m going to take her to places she’s never been, so she never has to save up for a vacation again.

Epilogue · What’s next

In my own lane.

My long-term goal is to become a leader in my own lane—whether that’s owning business ventures, becoming a supermodel and fashion mogul, or being a managing director at a big bank. Code, capital, and couture: I don’t plan to choose.

What I bring to the table.

  1. I take an idea from the model to the room. At Magnetar, I built the forecasts and presented the credit recommendation to the managing partner. Chapter Two
  2. I follow a trend to its bottleneck. From AI, to power, to nuclear, to the centrifuges behind HALEU. Chapter Three
  3. I write the code behind the analysis. Computer vision on edge hardware, clinic simulations, and a CS (Honors) and Math degree underneath. Chapter One
  4. I build for people, and I lead them. Signtegrate began with a survey of 308 people. I served as Vice President of the Vietnamese Student Association, and today I lead WITHIN. Chapter Five

Roll credits.

Starring
Close-up of Minh in a blue-striped oxford shirt, with a calm expression. Minh Nguyen they / them
Inspired by
My mom
Filmed on location
Vietnam · Hanover, New Hampshire · Evanston, Illinois
Featuring
WITHIN · Triangle House · The Tabard · Out for Undergrad · Out in Tech · Women in Business · Smart Woman Securities · Vietnamese Student Association · Quant Club · Tech Consulting Group · CodePath
Code
Python · JavaScript · SQL · R · HTML/CSS
Machine learning
PyTorch · YOLOv11 · OpenCV · scikit-learn · MediaPipe · MLflow
Finance
Three-statement modeling · DCF · Accounting · Excel · PowerPoint · Bloomberg · Capital IQ
Tools
Tableau · AWS · Docker · Linux · Claude Code · Codex · GitHub Copilot
Coursework
Machine Learning · Artificial Intelligence · Deep Learning · Statistics · Linear Algebra · Real Analysis · Microeconomics · Evolutionary Game Theory · Database Systems · Data Structures · Algorithms · Discrete Math
Honors
Rufus Choate Scholar · College Honor List · Garden & Turco Families Scholarship · Faculty citations in MATH 23, COSC 74, COSC 76 & COSC 78 notes professors add to a Dartmouth transcript for standout work
Certifications
Wall Street Prep: Accounting & Financial Statement Analysis, Analyzing Financial Reports, PowerPoint Shortcuts for Investment Banking, Microsoft Excel · Grow with Google: Data Analytics · CodePath: Advanced Technical Interview Prep, Foundations of AI Engineering
Stills
The curtain: Rob Laughter & Liana S (Unsplash) · The reel: Sami TÜRK (Pexels) · The porcelain: Fiona Murray-deGraaff (Unsplash) · The magazine page: a Vietnamese editorial (from my mood board) · The tiles: Valentin Ciccarone (Unsplash) · The negatives: Ron Lach (Pexels) · The sequins: Tim Mossholder (Unsplash) · The banking hall: Historic American Buildings Survey, Library of Congress · The towers: Kyle Miller (Pexels) · The cobalt set: Engin Akyurt (Pexels) · The mirror ball: Paul Zoetemeijer (Unsplash) · The lace: MyFashionSpace campaign board & Tolga deniz Aran (Pexels) · The blinds: Ruan Richard Rodrigues (Unsplash) · The shutters: Nguyễn Viết Minh Lâm (Pexels) · The runway: Faron Brazis (Pexels) · Runway footage: Victoria’s Secret Fashion Show (from my mood board; all rights with their owners) · The empty house: Mesh (Unsplash) Unsplash & Pexels licenses, and the public domain. The paper cut-outs, the doodles and the magazine’s type were drawn for this page.
For bookings & inquiries

If you’re working on credit, markets, AI, or the business of fashion, I’d love to hear from you.

Based on a true story.

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