GMPNN-CS++

A novel dual-contrasting framework for drug-drug interaction prediction using graph neural networks. This research led to selection as a Regeneron Science Talent Search Scholar '25.

Mathematical Modeling

A portfolio of mathematical modeling competition papers spanning optimization, PDEs, and machine learning classification — with top placements in MCM, HiMCM, and IMMC.

GMPNN-CS++

A novel dual-contrasting framework for drug-drug interaction prediction using graph neural networks. This research led to selection as a Regeneron Science Talent Search Scholar '25.

Work focus: Drug-drug interaction prediction, Graph Neural Networks, Self-attention, Contrastive Learning

GMPNN-CS++: A Novel Dual-Contrasting Framework for Drug-Drug Interaction Prediction

The proposed GMPNN-CS++ model introduces a dual-contrasting sampling approach and self-attention mechanism for DDI prediction, achieving 97% overall accuracy.
By Forrest Chai · December 1, 2024 · 2 min
Read full thesis

Mathematical Modeling

A portfolio of mathematical modeling competition papers spanning optimization, PDEs, and machine learning classification — with top placements in MCM, HiMCM, and IMMC.

Work focus: Optimization, PDE modeling, Machine Learning classification, Simulated Annealing

MCM 2023: Global Meritorious Winner — Policy Optimization & Animal Population Modeling

Global Meritorious Winner (Top ~10% among 11,296 teams). The only high school team to achieve this on Problem B. Built optimization models using simulated annealing, logistic models, and Euler Method.
By Forrest Chai · March 1, 2023 · 1 min

IMMC 2023: Land Development Strategy Optimization via Machine Learning

Advanced to Final Defense (Top 26 among 900+ teams) at IMMC Greater China International Round. Applied Entropy Weight and K-Means clustering for optimized land development strategy.
By Forrest Chai · June 1, 2023 · 1 min

HiMCM 2023: Dandelion Spread PDE Model — Finalist Award

Finalist Award (Top ~7% globally) at HiMCM 2023. Constructed a system of four coupled PDEs modeling dandelion population dynamics with Fisher logistic growth, advection-diffusion, and Brownian dispersal.
By Forrest Chai · November 1, 2023 · 1 min

IMMC 2023: Lizard Species Classification via Machine Learning

Advanced to International Round at IMMC Greater China National Round. Applied logistic regression, decision tree, and random forest to classify lizards into 26 species.
By Forrest Chai · April 1, 2023 · 1 min
Read full thesis