About me

I am currently working as a Biostatistician focusing on mRNA and translational research in Translational and Early Development Biostatistics at Sanofi.

I completed my PhD degree in Biostatistics at the University of Pittsburgh, advised by Dr. Jong-Hyeon Jeong. My dissertation research area is time-to-event data analysis, specifically, deep learning for survival data. During my PhD study, I had also worked as a Graduate Student Researcher at MYHAT group at UPMC, collaborating with physicians and clinical researchers to study risk/protective factors of mild cognitive impairment and dementia.

My statistical expertise include survival analysis, machine learning and deep learning, omics data analysis, and longitudinal data analysis. I am particularly interested in novel statistical applications in artificial intelligence in medicine and drug development.

Awards

• ASA Student of the Year, ASA Pittsburgh Chapter, 2022


• ASA Lifetime Data Science (LiDS) Section Student Paper Award at JSM, 2021


• ICSA Applied Statistics Symposium Poster Award, 2021


• ENAR Distinguished Student Paper Award, 2020


• Outstanding Master’s Student, University of Washington School of Public Health Awards of Excellence, 2017


• University of Iowa Student Employee of the Year Recognition, 2014

Selected Publications

Methodology

• Jeong, J. H. & Jia, Y. (2022+). Causal Deep Learning for Prediction of Individual Event Times. arXiv preprint arXiv:2203.10207. Submitted.


• Jia, Y. & Jeong, J. H. (2022+). DeepCENT: Prediction of Censored Event Time via Deep Learning. arXiv preprint arXiv:2202.05155. Under Review.


• Jia, Y. & Jeong, J. H. (2021). Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg. Computational Statistics & Data Analysis, in press. link


• Jia, Y. & Jeong, J. H. (2021). Cause-specific Quantile Regression on Inactivity Time. Statistics in Medicine, 40(7), 1811-1824. link

Collaboration

• Lee, S., Jia, Y., Snitz, B. E., Chang, C. C. H. & Ganguli, M. (2022). Assessing Social Cognition in Older Adults: A Population-Based Study. Alzheimer Disease & Associated Disorders – An International Journal, 30(4), S88-S89.


• Runk A., Jia, Y., Liu, A., Chang, C. C. H., Ganguli, M & Snitz, B. E. (2021). Associations between visual acuity and cognitive decline in older adulthood: A 9-year longitudinal study. Journal of the International Neuropsychological Society, 1-11.


• Bhojak T., Jia, Y., Jacobson, E., Snitz, B. E., Chang, C. C. H. & Ganguli, M. (2021). Driving Habits of older adults: A Population-Based Study. The American Journal of Geriatric Psychiatry, 29(4), S128.


• Jia, Y., Chang, C. C. H., Hughes, T. F., Wang, S., & Ganguli, M. (2020). Predictors of Dementia in the Oldest Old: A Novel Machine Learning Approach. Alzheimer Disease & Associated Disorders, 34(4), 325-332.


• Cohen, A. D., Jia, Y., Smagula, S. F., Chang, C. C. H., Snitz, B. E., Jacobson, E., & Ganguli, M. (2020). Cognitive functions predict trajectories of sleepiness over ten year: a population-based study. The Journals of Gerontology: Series A, glaa120.


• Smagula, S. F., Jia, Y., Chang, C. C. H., Cohen, A., & Ganguli, M. (2019). Trajectories of daytime sleepiness and their associations with dementia incidence. Journal of Sleep Research, 29(6): e12952.


• Ganguli, M., Jia, Y., Hughes, T. F., Snitz, B. E., Chang, C. C. H., Berman, S. B., ... & Kamboh, M. I. (2019). Mild Cognitive Impairment that Does Not Progress to Dementia: A Population‐Based Study. Journal of the American Geriatrics Society, 67(2), 232-238.

Selected Presentations

• JSM, August 2021 (virtual oral presentation)


• ENAR, March 2021 (virtual poster presentation)


• ICSA Applied Statistic Symposium, December 2020 (virtual poster presentation)


• ENAR, March 2020 (virtual oral presentation)

Selected Statistical Packages

• DeepQuantreg: A Python package (with GPU acceleration) for deep (Deep) censored quantile (Quant) regression (reg). link


• QRegIT: An R package (with functions written in Rcpp) for quantile (Q) regression (Reg) on inactivity (I) time (T). link