I'm broadly interested in data, human computer interactions and AI systems. As a data scientist and an artist, the addition of extra perspectives helps me with my work in both fields. My goal is to combine theory and practice to understand and improve how humans, language models, and data systems interact. I am interested in exploring new ways to shape our understanding of these interdisciplinary connections. My work often moves between art and data. I enjoy exploring how systems—visual, linguistic, or computational—can reveal patterns of human thought and expression. In recent years, I’ve been involved in projects across data engineering, digital humanities, and human–computer interaction, where I’ve learned to think about data not just as numbers, but as stories and structures that connect people and ideas. In the past few years, I have been honored to be involved in several research projects and personal projects related to large-scale data engineering, digital humanities, and HCI design.
Research Experiences
EPIC Data Lab
Undergraduate Researcher - Mentored by Sepanta Zeighami and
Shreya Shankar under Aditya Parameswaran
Berkeley, CA
Applied data engineering techniques to investigate LLM-database interactions and generate hypotheses. Researched how task, query, and representation complexity affect LLM row-level retrieval. Built automated data pipelines for large-scale multi-setting experiments and predicate modification.
Poster Presentation
LLM Table Eval of Data Representations
H. Huang, S. Zeighami, S. Shankar and A. Parameswaran. Poster presented at the semi-annual showcase of the EPIC Data lab, UC Berkeley.
FactGrid Wikibase
Undergraduate Researcher - Mentored by Adam Anderson
Berkeley, CA
Improve a cuneiform ancient language database by developing an efficient Unicode conversion pipeline. Analyze 100K+ records large datasets and propose commonly misclassified transliterations. Form accuracy metrics and visualize cross-organizational sign lists to support research publication.
Conference paper
Evaluating Online Cuneiform Sign Lists: Challenges and Advances in Digital Representation
Huang, H., Anderson, A. In Bytes and Bygones – Digital and Computational Analyses of Ancient Cultures, Ghent University, Belgium. https://www.bab.ugent.be/wp-content/uploads/2025/09/Abstracts-alphabetic.pdf