Undergraduate Research Assistant

University of Texas at Austin - Discourse Lab

Austin, Texas | October 2025 – Present

Developing psycholinguistically-grounded evaluation system for verbal uncertainty in LLM-generated medical evidence synthesis

Built automated pipeline processing 150+ GPT-4o responses across 3 experimental conditions using Azure OpenAI APIs

Designed JSON-structured uncertainty detection framework integrating 50 years of meta-analytic research on probability expressions

Collaborating with Kaijie Mo to prepare findings for publication on uncertainty expression in clinical AI systems

Research Assistant

University of Texas at Austin - SALT Lab

Austin, Texas | October 2025 – Present

Developing Large Audio-Language Models that integrate speech, audio, and text for multimodal reasoning tasks

Fine-tuning alignment pipelines between Whisper-style encoders and LLMs to improve cross-modal understanding

Research Assistant for Dr. Hayden

Baylor College of Medicine - Hayden Lab

Houston, Texas | May 2025 – September 2025

Transcribing and analyzing 4000 verbal responses from epilepsy patients performing arithmetic tasks to study cognitive-linguistic processing

Annotated and extracted acoustic features in Praat, enabling precise prosody analysis for epilepsy patient study

Transcribed morphemes and syntax using LLMs, to analyze the neuro system — improved model by 12%

Research Assistant, Co-Author w/ Dr. Labiba

Southern Methodist University - CS Department

Dallas, Texas | July 2024 – February 2025

Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach

View Paper

Published a paper to CoNLL-2025 investigating socioeconomic status prediction using Reddit data, focusing on linguistic patterns in low-SES posts

Designed a custom ranking system and engineered NLP pipelines using Logistic Regression, Naive Bayes, and Transformer-based models to classify posts with improved interpretability

Preprocessed and analyzed 30,000+ Reddit entries using Python (NLTK, SpaCy), applying bigrams, trigrams, keyword expansion, sentiment analysis, and LDA topic modeling to uncover latent psychological themes

AI Software Engineering Intern

Product Manager Accelerator

Southlake, Texas | September 2024 – February 2025

Designed a college match platform that used machine learning to deliver personalized results, integrating speech-to-text and a Siri-style UI for accessibility

Delivered a top-3 final product pitch to mentors and peers, showcasing the platform's features, user flow, and future roadmap through a live demo and slide presentation

Machine Learning Intern

ANIML.HEALTH - Project BALTO

Remote | September 2024 – Present

Collaborating with Dr. Kuan Chuen Wu on Project BALTO, developing advanced machine learning models for predicting animal health and enhancing veterinary diagnostics

Applied NLP techniques to analyze medical literature and health records, enabling data-driven strategies in animal health management

Conducted data cleaning, preprocessing, and feature engineering to improve accuracy of predictive models for animal health diagnostics

Contributing to AI-powered diagnostic tools providing accurate health insights for veterinary applications

Designer & Coder

VEX Robotics - Southlake Carroll Chapter

Southlake, Texas | 2022 – May 2025

Started as primary coder programming the robot in C++, progressed to design specialist role responsible for designing pneumatics, catapult mechanism, and overall robot structure

Managed and maintained engineering notebook documenting all design processes, strategies, and coding implementations, contributing to winning design awards

Consistently ranked in top 10 in every tournament throughout 11th grade and qualified for VEX Robotics World Championship