プロフィール詳細

プロジェクトを作成

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Dr. Flavien O.に依頼

Canada

Evidence Synthesis Methods: Rapid & Systematic Reviews, Scoping & Methodological Reviews, Evidence Gap Maps, Landscape

プロフィール概要

I specialized in automated systhesis (using python-based piplines with machine learning, NLP, and deep clustering) to streamline both search and screeing steps in reviews requiring systematic and reproducible approaches.

専門分野

• ☆ Data Analysis
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Information Retrieval
• ☆ Python
• ☆ SPSS
• ☆ SQL
• ☆ Excel
• ☆ SAS
• ☆ Scikit-learn
• ☆ Literature Review
• ☆ Systematic Literature Review

サービス

• Research
• Data & AI

Research Market Research, Meta-Research, Gray Literature Search, Systematic Literature Review

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Text Mining & Analytics, Data Mining, Data Cleaning, Data Insights

職務経験

Student (PhD)

Monash University

7月 2022 - 現在

PhD. Researcher

Monash University

7月 2022 - 3月 2026

Research Analyst

ehealth Center

2月 2014 - 9月 2016

学歴

PhD

Monash University, Malaysia Campus - Malaysia

7月 2022 - 3月 2026

MSc

McMaster University

9月 2013 - 8月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

BOOK CHAPTER

Flavien Owolabi (2026). Enhancing Precision and Efficiency in Study Identification: A Human-AI Collaborative Approach with Domain Knowledge Expertise .