First time building a neural network
Learning regression and gradient descent
Implementing Kawasaki and Glauber models
Memorable projects brought to life.
Crafting digital experiences.
Hands-on virtual chemistry
A retro metroidvania game built from scratch in Java.
Where my coding journey began
A collection of my highschool research and works (primarily in mathematical modeling).
(2024)
🏆 Winner of the Distinction and Novelty Award at SIMC 2.0 2024. This paper presents our solution to a challenge problem in single-particle imaging. We developed deterministic and heuristic techniques to cluster image orientations in both noiseless and noisy 2D datasets. Our key methods included perceptual image hashing for the noiseless data and a modified K-means algorithm for the noisy data.
(2023)
📄 First-author paper published in the proceedings of the International Young Researchers Conference 2023. This communication studies paper investigates a novel demographic: public speakers who began their careers during the virtual-first environment of the COVID-19 pandemic. We analyzed how the online modality shaped their public speaking practices and techniques.
(2022)
🏆 High Distinction (Top 3, Junior Track) at SIMC 2.0 2022. This paper models the spread of a hypothetical “duovid” virus across a community represented as a network, employing a multi-level approach based on network complexity. We began by deducing infection properties analytically for simple, lattice-like networks. As complexity increased, we utilized graph traversal algorithms to simulate the spread, culminating in the use of regression models with graph feature engineering to generate results for the most complex community structures.
(2022)
🏅 Rank 9 Award at the International Mathematical Modeling Challenge (IMMC) 2022. In this paper, we developed a two-part model to analyze and optimize airplane passenger flow. For boarding, we created a computational Monte Carlo simulation to estimate times for various methods, accounting for randomized passenger parameters. For disembarking, we derived a closed-form formula to calculate the optimal deplaning time for any given aircraft configuration.
(2021)
🏅 Finalist Award at the High School Mathematical Contest in Modeling (HiMCM) 2021. This paper presents our comprehensive, three-part analysis of the Lake Mead water crisis. We first applied statistical methods to identify trends in the lake’s declining water levels, then developed a calculus-based model to estimate the remaining water volume. These findings culminated in a detailed proposal for a new wastewater recycling plant to address the issue.