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Master of Science in Data Science

Columbia University, New York, USA

• GPA: 3.83

Bachelor of Science in Cognitive Science (Machine Learning track)

University of California, San Diego, CA, USA

• Minor in Computer Science.
• GPA: 3.94; Magna Cum Laude

Research Assistant

New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY

• Led development of a portable decoded EEG neurofeedback platform using Muse-S with real-time feedback and EEGNet-based decoding (first-author manuscript in preparation). Contributed to a hybrid CNN-Transformer project on ileal pouch neoplasia, validating deep-learning code and co-authoring internal grant proposals.

Staff Associate I

Columbia Business School, New York, NY

• Developed MoRA-DETM, a LoRA-adapted dynamic topic modeling framework for embedding multiple text corpora into a unified topic space. Built an end-to-end pipeline for text preprocessing, temporal topic modeling, visualization, and technical reporting.

Graduate Research Assistant

Columbia University Living Lab, New York, NY

• Developed multimodal fusion models combining Muse EEG signals with facial landmarks to classify attentional states during lectures, achieving 81% validation accuracy. Authored experimental protocols, managed behavioral data collection, and trained undergraduate research assistants.

Graduate Research Assistant

Columbia Data Science Institute, New York, NY

• Led a team of five to design and implement a global climate-claim fact-checking prototype (Webflow UI, AWS Lambda, DynamoDB) integrating model predictions and crowdsourced verification. Architected backend services and database schema for scalable claim storage and retrieval.

Data Analyst for Vice Dean of Research

Columbia Business School, New York, NY

• Provided data analysis support for faculty and PhD research projects, including time-series analysis and survey data cleaning. Conducted statistical audits for a preregistered study on status insecurity, identifying data and analytical issues before journal publication.

NLP Research Intern

Johnson and Johnson Innovative Medicine, Titusville, NJ

• Designed and developed DocxParser, a Word-integrated pipeline that embeds LLM-generated fact-check edits as reviewer-mode suggestions in clinical drug submissions. Implemented XML-based document normalization and an LLM-based evidence retrieval module achieving 97% phrase-to-source alignment.

Undergraduate Research Assistant

SMoL Lab, UC San Diego, La Jolla, CA

• Designed and implemented an interactive microaggression-focused CAPTCHA as an intervention tool for workshops. Ran workshops and documented participant feedback that informed iterative design and the CSCW paper on designing for microaggressions.

Undergraduate Research Assistant

CSEd Research Lab, UC San Diego, La Jolla, CA

• Performed statistical analyses to assess course design effects on student confidence. Created publication-quality visualizations and contributed to qualitative coding for SIGCSE publications.

BRAINYAC Mentor

Zuckerman Institute, Columbia University, New York, NY

• Mentored high school students on EEG data collection and analysis in a neuroscience research setting.

Teaching Assistant

Columbia University, New York, NY

• Teaching assistant for STAT GR5293 Applied Machine Learning for Computer Vision; supported instruction, office hours, and grading.

Tutor

UC San Diego, La Jolla, CA

• Tutor for COGS 108 Data Science in Practice, CSE 8A, and CSE 15L; led labs, held office hours, and supported students in programming and data science fundamentals.

Microaggression Intervention Designs

• Co-designed a suite of microaggression intervention tools (Captcha, Garden, Phone Booth) and built the interactive project website used in workshops.

Fine-Grained Bird Classification

• Created custom fine-grained bird classification models using self-designed CNNs with and without background masking, comparing performance to pre-trained ResNet-50.

Hands-Free Dino Jump - EEG-Driven Gameplay with Eyeblinks

• Led a team to collect and preprocess EEG data from Cyton devices, applied statistical learning to detect eyeblink patterns, and linked EEG detection to a virtual keyboard for hands-free game control.

MemoEats - Agile CRUD Web App

• Led a 12-person team to build a CRUD recipe web application following Agile practices, overseeing UI design, project coordination, and repository documentation.

EEG-Familiarity Prediction

• Replicated and validated a published EEG-based memory recall study by translating MATLAB scripts to Python and correcting errors in the original analysis pipeline.

• Member, Phi Beta Kappa.

• Warren College Provost Honors, UC San Diego.
• Magna Cum Laude, UC San Diego.