I'm a Master's student in Applied Statistics at the University of Michigan. I work at the intersection of machine learning, statistical modeling, and practical AI systems. I enjoy building tools and models that connect data science, AI engineering, and real-world decision-making.
-
π University of Michigan β Research Assistant Validating phylodynamic pipelines (PhyloDeep & PhyloPOMP) to compare MLE and deep learning estimators for epidemiological models.
-
π§ͺ Michigan Data Science Team β Student Researcher Replicating GPT-2 with PyTorch and studying transformer training behavior.
-
π Purdue University β Graduate Data Science Researcher Forecasting with ARIMA, LSTM, and boosting models; built automated dashboards for data visualization.
-
π€ AUO Corporation β Software Engineer Intern Developed a multi-agent system using LangGraph with SQL/Neo4j agents and LLM orchestration.
-
π WNC Corporation β Artificial Intelligence Intern Engineered an NLP/RAG plugin to optimize internal communication and information retrieval.
Languages & Core Tech
Databases & Knowledge Graphs
Cloud & DevOps