Scholar
Youran Zhou
Google Scholar ID: W2xw3cQAAAAJ
PhD Student, Deakin University
Citations & Impact
Citations
52
H-index
3
i10-index
2
Publications
10
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Official release of the MissMecha Python package; guest lecture at Deakin University on methods for handling missing data; selected as a finalist for the 2024 Visualise Your Thesis (VYT) competition at Deakin University; joined Intersect Australia as a Research Data Scientist Intern. Published paper 'Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?' at ECML'24.
Research Experience
- As a researcher, develops open-source solutions for handling incomplete data, including simulation, visualization, and imputation evaluation. Currently working as a Research Data Scientist Intern at Intersect Australia.
Education
- Currently completing a PhD in Data Science at Deakin University, focusing on advancing methods for missing data imputation, diagnostics, and simulation.
Background
- Data scientist, educator, and researcher specializing in missing data, generative modeling, and applied machine learning. Focused on developing robust tools and methods to improve data quality and enable reliable analysis across real-world domains such as healthcare, insurance, and finance. With over five years of teaching and mentoring experience, passionate about making complex methods accessible to diverse learners.
Miscellany
- Passionate about empowering future data scientists through practical, inclusive, and research-informed learning experiences.
