CV

kamilako [at] yorku.ca

Mila Kolpashnikova

Executive Summary

• time-use researcher
• expert in data analysis and visualization
• proficient in Python and R

Working Experience

York University (Postdoctoral Visitor, 2022/03 - present)

• CAnD3 fellow (September 2022 - July 2023)
• AGE-WELL HQP (April 2022 - August 2023)
• AGE-WELL Summer Institute (June 2023)
• working on visualizing time-use data and eye-tracking sequences (R packages)
• developing websites for the visualization tools (atusxvisualizer.com), using TailwindUI + Vite

University of Oxford (Postdoctoral Fellow, 2019/03 - 2022/03)

• working with time use data and creating a Laravel website for visualizations (currently transformed into R packages)
• analysis of time-use data and publishing papers
• The Data Incubator (data science) bootcamp (2021)

visiting National Taipei University, 2018/01 - 2018/12

• publishing papers on time use data
• learning Mandarin

visiting American Unviersity of Central Asia, 2017/01 - 2017/12

• publishing papers on time use data
• teaching statistics, quantitative research methods, and econometrics
• PHP full-stack developer bootcamp (2017-2018)

Recent Projects

• Time-Use Visualization R Packages - 7 packages on wrangling and interactive visualizations of time-use data
• Personal Webpage - a Django website hosted on DigitalOcean
• NLP Topic Analysis - a scoping review using NLP topic analysis for a scientific paper
• For the full list of my projects, check my GitHub or Projects Tab

Education & Qualifications

• University of British Columbia (PhD in Sociology, 2017)
• University of Tokyo (Master’s in Socio-informatics)

Misc. Information

• Languages: English (fluent), Japansese (fluent), French (advanced)