I am a 3rd year Ph.D. candidate at the Johns Hopkins Bloomberg School of Public Health in Department of Biostatistics. I am part of the Wearable and Implantable Technology (WIT) research group. I am working as a Research Assistant with Drs. Ciprian Crainiceanu (JHU Biostatistics) and Jacek Urbanek (JHU Medicine).
I received my Bachelor’s and Master’s degrees in Mathematics from Wroclaw University of Science and Technology in Poland in 2013 and 2015. Prior to joining Johns Hopkins, I worked as a Research Assistant at Indiana University and as an analyst for Opera Software Internet browser company.
In my free time, I run and cook. I completed my first full marathon in 2017 in Denver, CO.
I passed my preliminary schoolwide oral exam. My Committee consisted of three faculty from the Dept. of Biostatistics, one faculty from Dept. of Epidemiology, and one faculty from the Dept. of Medicine.
I received Leadership, Empowerment and Learning Culture Award during Novartis US Analytics Conference 2019. My conference talk presented the work done as a Sensor Data Analytics Intern with Novartis in Basel, Switzerland during summer 2019.
Our paper “Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation” just got published in Biostatistics with the journal’s highest reproducibility status! See ADEPT article online.
Our R package adept that implements ADEPT pattern-segmentation method is out on CRAN (CRAN index). The vignette shows example of strides segmentation from raw accelerometry data of 25min outdoor run w/ walking and resting bouts. Listed May 2019 top 40 new CRAN packages.
To construct confidence interval for the mean, we often use quantiles of standardized sample mean distribution. Here, I include a list of cases where I’d use quantiles of t-distribution versus quantiles of normal distribution for that purpose.
Note: the below text could be directly translated to answer when to use t-test versus z-test in testing hypothesis about the mean parameter.
| Term | Course Number | Course title | Teaching role |
|---|---|---|---|
| 2019-20 Term 1 | 140.651 | Methods in Biostatistics I | Lead TA (lab, office hours) |
| 2019-20 Term 1 | 140.850 | Special topics course: Biostatistical Methods for Wearable Computing | Co-instructor |
See for current and past academic years.
