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.
<p>Remote ad diagnosis through face landmark analysis using Swift<br>
Leveraged Mediapipe for real-time face landmark extraction<br>
Used surface interpolation to parametrize patients' face<br>
Used Swift's Accelerate to perform surface integrals<br>
Computed facial and iris movement</p>
<p>Expected to work 12hr/week<br>
Delivering recitations<br>
Grading proof-based assignments<br>
Holding office hours</p>
<p>Coordinated large-scale events with 800+ students<br>
Demonstrated organizational skills<br>
Developed strong communication skills<br>
Engaged with students and faculty<br>
Liaised between different stakeholders</p>
<p>Raised over 25,000HKD<br>
Organized conferences in schools across Hong Kong<br>
Designed a diagnostic iOS app on Xcode</p>
<p>Used RStudio to employ a machine learning approach to examine longitudinal predictors of functional impairments and mortality among stroke patients<br>
Gained familiarity with statistical methods such as supervised machine learning and regression models<br>
Used LASSO<br>
Used logistic regression models</p>
<p>Bronze Level 2nd Place</p>
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