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Emilize Momplaisir

Emilize Momplaisir

Research Scientist & Data Analyst | Food Science, Life Sciences & Regulatory Compliance

USA flagRaleigh, Usa
$50.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Life Sciences & Data Analysis
Regulatory Compliance & Quality Assurance
Food Science & Sensory Research

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification
Data CollectionData Collection

Freelancer Overview

My research background translates directly to the precision AI training work demands. I've designed multi-phase studies, validated scientific methods by evaluating whether outputs meet defined accuracy standards, documented 120+ sample processes for reproducible execution, and synthesized data from 100+ qualitative interviews to drive strategic decisions. These are all skills that map onto annotation, RLHF evaluation, and quality review. My domain expertise spans food and nutrition science, regulatory compliance, behavioral coaching, and IT systems, which positions me to evaluate AI outputs across multiple specialized categories with genuine subject matter knowledge rather than surface-level familiarity. During my graduate research, I designed and applied categorical coding schemes to qualitative and quantitative datasets as part of multi-phase studies, ensuring consistency and reproducibility across data collection cycles. I also built structured databases in Excel and Notion using relational logic to organize, tag, and retrieve information systematically. This is work that directly mirrors text categorization and structured annotation tasks.

IntermediateEnglishHaitian CreoleFrench

Labeling Experience

Research Data Classification and Quality Review

TextClassification
Designed and applied structured classification protocols to research datasets as part of graduate-level food science research. Work involved categorizing textual and numerical data, applying consistent labeling criteria across data points, reviewing outputs for accuracy and consistency, and documenting decision rules for reproducibility. Also built and maintained structured databases using SQL logic for personal and research use.

Designed and applied structured classification protocols to research datasets as part of graduate-level food science research. Work involved categorizing textual and numerical data, applying consistent labeling criteria across data points, reviewing outputs for accuracy and consistency, and documenting decision rules for reproducibility. Also built and maintained structured databases using SQL logic for personal and research use.

2021 - Present

Education

J

Johnson & Wales University

Bachelor of Science, Applied Food Science

Bachelor of Science
2017 - 2021
U

University of Massachusetts, Amherst

Bachelor of Arts, Journalism

Bachelor of Arts
2015 - 2019

Work History

N

North Carolina State University

Graduate Researcher

Raleigh
2021 - Present
N

North Carolina State University

Teaching Assistant

Raleigh
2021 - 2025