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Users
SkinAI + CAPA combined
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Students Reached
Growing Up with Robotics
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Service Hours
Community impact
Selected Work
Projects &
Research
Six projects across ML research, computer vision, nonprofits, and competitive engineering.
CAPA
Computational Architecture for Predicting Alloimmunity
An open-source ML framework using ESM-2 protein language model embeddings and deep competing-risks survival analysis (DeepHit) to predict GvHD, relapse, and transplant-related mortality in pediatric HSCT. Features a cross-attention interaction network over donor-recipient HLA pairs.
Python · PyTorch · FastAPI · Next.js
Competing-Risks Survival Analysis
Pediatric HSCT Outcomes Research
Solo-authored research applying competing-risks survival analysis and ML to predict acute GvHD in 187 pediatric bone marrow transplant patients. Severe aGvHD risk plateaus by day 100 (CIF=0.214). LASSO-selected Cox model achieved omnibus significance (p=0.002).
R · Python · lifelines · LASSO Cox
SkinAI
Computer Vision Skin Analysis Platform
AI-powered skin analysis platform with thousands of users and a pending patent. Uses computer vision for dermatological screening. Built from the ground up as a solo founder.
Computer Vision · Python · React
Growing Up with Robotics
International 501(c)(3) Nonprofit
International nonprofit I founded. Robotics and STEM education for underserved communities. 7,000+ students reached across multiple countries. Executive Director.
501(c)(3) · 300+ service hours · 7,000+ students
FTC Robotics — Team 14607
Robot Uprising · Team Captain
Team captain for Robot Uprising. Competed at FTC Chesapeake Championship. Led mechanical design and autonomous programming. Drove strategy and systems integration.
Java · CAD · FTC SDK
FBLA FUSE
Chapter Management Mobile App
Chapter management mobile app built for FBLA. 2nd place NOVA Regional in Mobile App Development. Full-stack with React Native and AWS backend.
React Native · AWS · TypeScript
About
The story
behind the work
I'm a junior at TJ (TJHSST) in Northern Virginia. I immigrated from China, taught myself English, and received a cord blood transplant as a child for beta-thalassemia — which is why transplant immunology and GvHD research aren't just academic for me. They're personal.
I've conducted research at Stanford (iGEM), George Mason University (ASSIP), and Children's National Hospital. CAPA is my effort to turn that lived experience into something that might genuinely help the next kid in that situation.
“But they who wait for the Lord shall renew their strength; they shall mount up with wings like eagles; they shall run and not be weary; they shall walk and not faint.”
— Isaiah 40:31
Beyond the Lab
Competitive Cuber
Rubik's cube competitor
Lacrosse
Offensive midfielder
ABRSM Grade 8
Piano · teaches music
Youth Volunteer
Area Youth Ministry DMV
Research
Publications & Research
Research &
Writing
Competing-Risks Survival Analysis for Pediatric HSCT
Applying competing-risks survival analysis and ML to predict acute GvHD in 187 pediatric bone marrow transplant patients. Severe aGvHD risk plateaus by day 100 (CIF=0.214). LASSO-selected Cox model achieved omnibus significance (p=0.002).
View on GitHub ↗CAPA: Computational Architecture for Predicting Alloimmunity
Full framework paper describing the ESM-2 + cross-attention + DeepHit architecture for structure-aware HLA mismatch scoring and competing-risks survival prediction in allogeneic HSCT.
View on GitHub ↗Stanford iGEM — Immunocloaking
Synthetic biology research on immunocloaking strategies. Contributed to experimental design and computational analysis as part of Stanford's iGEM team.
Contact
Let's talk
about ideas.
Research collaborations, internship inquiries, or just want to connect — reach out.
Send an email ↗