research HEIMDALL: Disentangling Tokenizer Design for Robust Transfer in Single-Cell Foundation Models Cell Systems, 2026. Foundation Models Improve Perturbation Response Prediction bioRxiv, 2026. Scaling Dense Representations for Single Cell with Transcriptome-Scale Context In NeurIPS Workshop on AI for New Drug Modalities, 2024. Accurate and General DNA Representations Emerge from Genome Foundation Models at Scale In NeurIPS Workshop on AI for New Drug Modalities, 2024. AIDO.Tissue: Spatial Cell-Guided Pretraining for Scalable Spatial Transcriptomics Foundation Model ICML 2025 Generative AI and Biology (GenBio) Workshop. Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics A paper accepted to NeurIPS Workshop Machine Learning for Structural Biology 2022, First Author other projects Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics A paper accepted to ELLIS ML4Molecules Workshop 2021. Particle System Dynamics for Compromised Social Networks This is the code and additional results for my APM541 final project on Particle System Dynamics for Compromised Social Networks. An Interpretable Method of Learning Stochastic Game Dynamics from CMSAC Developed a new physics-inspired framework for analyzing soccer ball dynamics by modeling underlying potential landscapes. CyanoPATH - a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms CyanoPATH is a database that curates and analyzes the common genomic functional repertoire for cyanobacteria harmful algal blooms (CyanoHABs) in eutrophic waters. Bayesian Information Criterion from Scratch The Bayesian Information Criterion implemented from scratch in python to predict change points from noisy data. HonorCode Tutoring Website A System that organizes service and provides tutoring for members. Link for the website is tutors.concordiashanghai.org. Gibbs Sampling of a Gaussian Mixture Model from Scratch Using Python Using the Gibbs Sampling Scheme and Metropolis-Within-Gibbs Sampling Scheme to learn parameters of Gaussian Mixture Models. Concordia International IOT Environmental Sensors and Data Analysis Soldered, built and programmed 30 microcontroller sensors that streamed data to an SQL database. Built a data analysis dashboard from scratch for school admins to view air quality dynamically. Gaussian Process from Scratch with Python for simple interpolation Just a quick and dirty implementation of GP from scratch using python Viterbi Algorithm for Hidden Markov Models Coding up the viterbi algorithm for solving hidden markov models from scratch using python. Interactive Assistant Winter Project Winter is a proof of concept where several APIs are connected through Flask and VueJS and activated via parsed intents from DialogFlow.
