I'm a Cornell Information Science graduate and incoming NYU Data Science master's student interested in data science, NLP, applied AI, and software engineering.
My work includes human–LLM value-alignment research, natural-language interfaces for structured data, text mining, machine learning, graph algorithms, and networked systems.
An end-to-end R and Quarto analysis of customer reviews using TF-IDF, SVD, k-means clustering, and logistic regression.
A Java pathfinding project using graph traversal, shortest-path search, priority queues, and constrained route planning.
An OCaml and Lwt client–server chat application supporting TCP connections and asynchronous message handling.
LLMs Homogenize Values in Constructive Arguments on Value-Laden Topics
ACM CHI 2026 · Farhana Shahid, Stella Zhang, and Aditya Vashistha
Studied how LLM-generated constructive rewrites alter the values expressed in contentious online discourse, using experiments with 347 participants from India and the United States.
Languages: Python, Java, R, SQL, OCaml, JavaScript, C++
Data and ML: pandas, tidyverse, text mining, clustering, classification, model evaluation
Applied AI and backend: LangChain, Gemini, Django, MySQL, SQLite
Tools: Power BI, Excel, Quarto, Git
- Portfolio
- Email: stllazhn@gmail.com