Jeong Kyu Lee

Jeong Kyu Lee

Junior Research ScientistSSEL, NYU Abu Dhabi

Founder & CEOLoop Dimension

Full time

Projects

Papers

Lab positions

Founder

Client projects

Internships

I develop research software and computational workflows for experimental economics.

I work directly with clients, turn requirements into technical plans, and coordinate design and engineering through delivery.

Projects

Client projects

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01 / 02
SSEL · Research software · Current Open CAT ↗

CAT — Communication Annotation Tool

An end-to-end platform for coding communication data in economic experiments with one or more LLMs.

Designed and developed the full system from scratch: data ingestion, episode mapping, codebook configuration, experiment context, multi-model execution, result review, export, documentation, and deployment.

Research setting. Built at SSEL alongside our methodological work on whether LLMs can reliably code communication content in economic experiments.

Research · 2024—2025

Structural digital twin interface

An interactive system for viewing structural models alongside live and historical sensor data.

Developed the PyQt5 and VTK interface, dynamic color mapping, time-series animation, sensor-data integration, and clickable 3D sensor markers.

Research setting. Computational Solid Mechanics Lab, in a multidisciplinary Mubadala-funded project involving structural monitoring and digital twins.

Loop Dimension · Mobile platform · 2025 More details ↗

Ilkkam mobile marketplace

A full-stack marketplace where Korean home-service providers can redistribute work and bid on assignments in real time.

Led client discovery and scope definition, translated marketplace operations into product requirements, set the delivery plan, and coordinated the design and development team through launch.

Delivery. 90-day engagement.

Loop Dimension · AI/ML · 2024 More details ↗

LG HS Ad AI OCR solution

A marketing workflow combining product-data collection, OCR, and image inpainting.

Worked between the client and technical team to define the workflow, break requirements into deliverable components, coordinate implementation, and manage review and delivery.

Delivery. 75-day engagement.

Loop Dimension · Clinical software · 2025 More details ↗

Antibiotic recommendation system

A government-funded clinical decision-support system that recommends antibiotics from patient, diagnosis, laboratory, and pathogen data.

Led requirements clarification and technical planning, coordinated the implementation team, and managed the path from clinical workflow to delivered software.

Delivery. 21-day engagement.

Loop Dimension in numbers

20+ clients served
60+ projects delivered
5 regular, continuing customers

Experience

Full time

  1. Develop research software and computational workflows for experimental economics. Current work includes CAT, a complete platform for LLM-assisted coding of communication data.

    • Designed and built CAT from scratch, from dataset ingestion and codebook design to model execution and result export.
    • Support experimental design, implementation, data collection, and analysis across research projects.
    Open CAT ↗

Lab positions

  1. Developed a machine-learning screening approach for lung adenocarcinoma using gut and lung microbiome data, feature selection, and classification models.

  2. Built interactive 3D visualization for structural digital twins, integrating sensor streams, structural models, and time-series playback using VTK and PyQt5.

  3. Implemented and documented BERT-Large MLPerf Inference benchmarks on the NYU Greene cluster, including resource allocation and A100 GPU utilization.

Founder

  1. Lead a software studio delivering web, mobile, automation, and machine-learning products. I work directly with clients, turn requirements into technical plans, and coordinate design and engineering through delivery.

    • Delivered over 60 projects for over 20 clients, with 5 regular, continuing customers.
    • Secured 10 contracts in the first three months.
    • Built and led a team of five developers and designers.
    Loop Dimension ↗

Internships

  1. Developed bttn+, an iOS podcast streaming app, and an app that lets parents create kids’ podcasts with AI tools.

  2. Analyzed cultural and demographic datasets from Dubai’s local data, and worked with the engineering team to add new AI plugins to the platform.

  3. Resolved website functionality and user experience issues, developed new features to increase engagement, and optimized existing ones for usability.

  4. Studied five target regions, helped process more than 10 GB of climate data, and contributed to machine-learning and external API data pipelines.

Publications

  1. 2026 Working paper · SSRN CAT: An LLM-based Tool for Content Analysis in Experimental Economics Public working paper accompanying the Communication Annotation Tool.
  2. 2026 Working paper · SSRN Are LLMs Reliable Coders of Communication Content in Economic Experiments? Andrzej Baranski, David J. Cooper, and Jeong Kyu Lee
  3. 2025 Peer-reviewed conference paper Machine Learning-Based Screening Tool for Lung Adenocarcinoma Via Gut Microbiome Analysis Jeong Kyu Lee and Mai Oudah. IEEE EMBS BHI 2025; IWBBIO 2025.

Education & skills

2019—2025

New York University Abu Dhabi

B.S. Computer Science · Minor in Applied Mathematics · GPA 3.9 / 4.0

Full undergraduate scholarship. Capstone: machine-learning-based screening for lung cancer detection.

Research
Machine learning, statistical analysis, experimental systems, scientific visualization, data pipelines
Programming
Python, R, JavaScript, SQL, C, C++, React, Flask
Technical work
Product planning, software architecture, stakeholder communication, Git, Docker, APIs

Research, technical work, or a conversation about either.