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Bin Choi

Bin Choi

Research Associate (Data Science)

USA flagNew York, Usa
$100.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Clinical health data modeling

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF
Fine-tuningFine-tuning

Freelancer Overview

Research Associate (Data Science). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Certificate in Data Science, The Data Incubator (2022) and Doctor of Philosophy, Columbia University, Graduate School of Arts & Sciences (2013). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Classification and Sentiment Analysis.

Entry LevelEnglishKorean

Labeling Experience

AI Trainer- Physics Expert

DocumentRLHF
- Developed and evaluated domain-specific prompts to assess the performance of large language models (LLMs) - Analyzed LLM outputs for scientific accuracy, clarity, and depth in specialized subfields - Contributed to improving AI understanding of complex topics through expert review and feedback - Conducted independent research to support prompt development and evaluation tasks

- Developed and evaluated domain-specific prompts to assess the performance of large language models (LLMs) - Analyzed LLM outputs for scientific accuracy, clarity, and depth in specialized subfields - Contributed to improving AI understanding of complex topics through expert review and feedback - Conducted independent research to support prompt development and evaluation tasks

2026 - Present

Research Associate (Data Science)

Classification
As a Research Associate (Data Science), I built predictive models and collaborated closely with healthcare stakeholders. My role involved end-to-end data workflow management, model evaluation, and translating results for both technical and non-technical audiences. Strong analytical, Python programming, and stakeholder management skills were essential in this position. • Developed logistic and gradient-boosted models for clinician-annotated health data • Presented model metrics and feature drivers using SHAP for interpretability • Created reproducible Python pipelines and standardized analytics outputs • Worked with clinicians and PIs to convert insights into actionable next steps

As a Research Associate (Data Science), I built predictive models and collaborated closely with healthcare stakeholders. My role involved end-to-end data workflow management, model evaluation, and translating results for both technical and non-technical audiences. Strong analytical, Python programming, and stakeholder management skills were essential in this position. • Developed logistic and gradient-boosted models for clinician-annotated health data • Presented model metrics and feature drivers using SHAP for interpretability • Created reproducible Python pipelines and standardized analytics outputs • Worked with clinicians and PIs to convert insights into actionable next steps

2024 - Present

Education

T

The Data Incubator

Certification, Data Science

Certification
2021 - 2022
C

Columbia University, Graduate School of Arts & Sciences

Doctor of Philosophy, Physics

Doctor of Philosophy
2008 - 2013

Work History

N

NYU Langone Health

Research Associate, Data Science

New York
2024 - Present
I

Independent

STEM Tutor & Caregiver

Princeton
2015 - 2024