Jason Zheng

Data consumer.

Summary

Data scientist and statistician with 7+ years’ of experience with inference, research design, and data modeling. Experienced in handling large longitudinal datasets for extraction, processing, and loading. Curious, independent, and professionally skilled at contributing to high functioning team environments.

Skills

  • Causal inference, mediation, A/B testing, hypothesis testing
  • Data analysis, statistical modeling, visualization, regression, ETL, classification
  • Proficient in R, Python, tidyverse, SQL; familiar with AWS, Tensorflow, Keras

Education

  • M.A., Psychology | The University of British Columbia (Sep 2021)
  • B.S., Honours in Biology | The University of British Columbia (May 2017)

Certificates

  • Google Advanced Data Analytics | Google on Coursera (Feb 2024)
  • AWS Fundamentals | AWS on Coursera (Jul 2024)

Citations

  1. Morstead, T., Zheng, J., Sin, N. L., & DeLongis, A. (2022). Perceived Threat and Coping Responses during the COVID-19 Pandemic: Prospective Associations with Vaccine Hesitancy. Vaccine, 40(52), 7586–7592. https://doi.org/10.1016/j.vaccine.2022.10.081
  2. Morstead, T., Zheng, J., Sin, N. L., Rights, J. D., & DeLongis, A. (2022). Pandemic Stressors and Depressive Symptoms: Examining within- and between-Person Effects of Neuroticism. Personality and Individual Differences, 198, 111827. https://doi.org/10.1016/j.paid.2022.111827
  3. Morstead, T., Zheng, J., Sin, N. L., King, D. B., & DeLongis, A. (2022). Adherence to Recommended Preventive Behaviors During the COVID-19 Pandemic: The Role of Empathy and Perceived Health Threat. Annals of Behavioral Medicine, 56(4), 381–392. https://doi.org/10.1093/abm/kaab107
  4. Zheng, J., Morstead, T., Sin, N., Klaiber, P., Umberson, D., Kamble, S., & DeLongis, A. (2021). Psychological Distress in North America during COVID-19: The Role of Pandemic-Related Stressors. Social Science & Medicine, 270, 113687. https://doi.org/10.1016/j.socscimed.2021.113687