Angelina Yieu
Building web intelligence at Akiboe. Previously AI and cognitive science research at USC Norris and EdUHK, modelling how the brain and body respond to interventions.
Building
Research
Interests
- Self-improving, explainable mind-body digital simulation
- Knowledge graphs for strategic causal modelling
- Multi-variable uncertainty modelling and resolution for prediction
Experience
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USC Norris Comprehensive Cancer Center 2026
Brain models research. Recursive brain modelling to personalize cancer recovery, with a 28–63% difference in impact.
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The Student Innovation Council 2024 – 26
Founder & chair. Solo-founded. Pooled resources and talent from 22+ schools for SDG projects with NGOs; events for 1k+ students in Hong Kong, the US and Dubai. Members went on to Stanford, UCLA and Harvard.
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The Education University of Hong Kong 2025
Cognitive research. Ran cognitive enhancement trials and data modelling in Dr. Ahorsu's lab; helped participants by +42%.
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Harvard Global Research and Consulting Group 2024 – 25
Fund analyst. Ventures in healthcare and education.
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IKEA 2024 – 25
Software engineer.
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Mainland – Hong Kong supply chain 2023 – 24
Founder. Bundled frozen and tech goods to cut cost for 20+ retail stores: 500k USD revenue in the first year, at 15–16.
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11+ companies 2019 – 24
Research, development & deployment. Six years of commissioned cross-sector work (tech, F&B, retail) across design, product and sales.
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The New York Academy of Sciences 2024
AI + machine engineering head. Led two solutions certified by the Royal Swedish Academy of Engineering Sciences: a CT AI scanner that diagnoses and repairs devices to cut e-waste, and a cognitive tracker for AI-assisted learning.
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Rice Robotics 2024
Robotics intern. Edtech robots that help kids remember homework: component design, 3D printing and assembly under time limits.
Honors
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Stanford × Google Hackathon · top 6, solo 2025
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The New York Academy of Sciences · top 10 of 460, gold 2024
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GRC Global Essay Competition · top 10 2024
Writing
Overview
- Problem
- Chronic diseases dominate global mortality and costs; current prevention participation is low.
- Why personalization
- People differ biologically. Genomic variants can change drug response and risk profiles, so generic guidelines leave value on the table.
- Core concept
- A preventative-care platform that combines multi-source data (genetic/epigenetic, lifestyle, environment, medical history) with AI to produce individualized risk predictions and prevention plans.
- Blueprint
- An AI prediction and simulation engine that updates as new data arrives; continuous data capture from wearables, questionnaires and epigenetics, with a credit system for adherence; and a shorter training pathway for practitioners who supervise AI outputs and run prevention plans.
- Technical details
- Clustering, handling missing data, and interpretable tree-based models for clinician-facing decision support.
- Example & rollout
- Hypertension prevention guided by epigenetic and lifestyle/environment data. Start in higher-resource clinical settings, then scale via telemedicine and mobile hubs.
Education
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Granada Hills Charter 2026
High school, class of '26. 4.0 GPA, 10 APs.
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International Baccalaureate
HL physics, chemistry, economics · SL math AA, English, Chinese.
Contact
Let's chat: yieuangelina@gmail.com or LinkedIn.