2022 IMO team Hong Kong reserve (top 18), 2022 IEO team Hong Kong reserve (top 10), APMO Qualifier, Top 10% in AIME
Expected to work 12hr/week, including delivering recitations, grading proof-based assignments, and holding office hours. Topics we teach include Graph Theory, Algorithms (e.g., Graph Traversals), Probablistic Methods, Counting, and Relations.
Remote ad diagnosis through face landmark analysis using Swift
Leveraged Mediapipe for real-time face landmark extraction
Used surface interpolation to parametrize patients' face
Used Swift's Accelerate to perform surface integrals
Computed facial and iris movement
Expected to work 12hr/week
Delivering recitations
Grading proof-based assignments
Holding office hours
Coordinated large-scale events with 800+ students
Demonstrated organizational skills
Developed strong communication skills
Engaged with students and faculty
Liaised between different stakeholders
Raised over 25,000HKD
Organized conferences in schools across Hong Kong
Designed a diagnostic iOS app on Xcode
Used RStudio to employ a machine learning approach to examine longitudinal predictors of functional impairments and mortality among stroke patients
Gained familiarity with statistical methods such as supervised machine learning and regression models
Used LASSO
Used logistic regression models
Bronze Level 2nd Place
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