Departmental Affiliations
Center & Institute Affiliations
Research Interests
- Mobile Health
- Longitudinal/ trajectory models.
- Computational Statistics and Machine Learning
Experiences & Accomplishments
I am an assistant scientist in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. My research interests focus on mobile health applications, longitudinal and group-based trajectory models, as well as big data and computational statistics. My primary effort involves providing statistical consultation at the Johns Hopkins Biostatistics Center, particularly on projects involving various biostatistical aspects including latent class analysis, survival analysis, and meta-analysis. I am serving as the primary lead statistician on several diverse projects and contribute to the development of successful grant applications for clinical trials and observational studies. Additionally, I enjoy teaching and mentoring students.
Prior to joining JHU, I conducted my postdoctoral research at Boston University School of Public Health. During this time, I worked on several projects within the Electronic Framingham Heart Study, which involved collecting data from a smartphone app paired with a wireless blood pressure device and smartwatch to monitor heart rates and step counts. My primary focus was investigating factors associated with long-term use of mobile and digital technologies and examining how these mobile and digital phenotypes relate to cardiovascular disease risk factors.
Honors & Awards
- Outstanding achievement (Best Visualization) in the Data Challenge at the symposium on Data Science & Statistics (2019)
- Dissertation Research Assistantship Award in Southern Illinois University, Carbondale,IL (2019)
- John M. H. Olmsted Outstanding Master's Teaching Assistant Award for outstanding teaching Performances at Southern Illinois University, Carbondale, IL (2015)
Select Publications
Kishan A, Pearson ZC, Li SS, Pressman Z, Ahiarakwe U, Pathiravasan CH, Srikumaran U. How low can we go? A randomized controlled trial of low-quantity initial opioid prescriptions for shoulder surgery. J Shoulder Elbow Surg. 2024
Wang, X., Pathiravasan, C. H., Zhang, Y., Trinquart, L., Borrelli, B., Spartano, N. L., Lin, H., Nowak, C., Kheterpal, V., Benjamin, E. J., McManus, D. D., Murabito, J. M., & Liu, C. (2023). Association of Depressive Symptom Trajectory With Physical Activity Collected by mHealth Devices in the Electronic Framingham Heart Study: Cohort Study. JMIR mental health, 10, e44529. https://doi.org/10.2196/44529
Shapira-Daniels, A., Kornej, J., Spartano, N. L., Wang, X., Zhang, Y., Pathiravasan, C. H., Liu, C., Trinquart, L., Borrelli, B., McManus, D. D., Murabito, J. M., Benjamin, E. J., & Lin, H. (2023). Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis. Journal of medical Internet research, 25, e43123. https://doi.org/10.2196/43123
Pathiravasan, C. H., Zhang, Y., Wang, X., Trinquart, L., Benjamin, E. J., Borrelli, B., McManus, D. D., Kheterpal, V., Lin, H., Spartano, N. L., Schramm, E., Liu, C., & Murabito, J. M. (2022). Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. NPJ digital medicine, 5(1), 195. https://doi.org/10.1038/s41746-022-00735-1
Pathiravasan, Chathurangi H., and Bhaskar Bhattacharya. "A Semiparametric Tilt Optimality Model." Stats 6.1 (2022): 1-16.