As a statistician on Takeda’s Quantitative Sciences team in Boston, MA, I focus on statistical modeling and analysis of data from digital devices such as wearable accelerometers, ambulatory blood pressure monitors, respiratory monitors, and polysomnography. My recent projects involve digital assessments in hypersomnolence disorders and ALS.

Before joining Takeda, I was a postdoctoral researcher at the Onnela Lab at Harvard T.H. Chan School of Public Health. I received a PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health in 2021, and hold Bachelor’s and Master’s degrees in Mathematics from Wroclaw University of Science and Technology, Poland.

In my leisure moments, I find joy in connecting with people, running, and hiking. The peak of my running tenure was probably finishing a full marathon in 2017. Currently, I am working on summiting New Hampshire’s 48 peaks over 4,000 feet. Some summits photos can be found in my 🌄 gallery.

Recently

• Our paper “Smartphone screen time characteristics in people with suicidal thoughts: retrospective observational data analysis study” is published. This work shows the feasibility of using passively collected phone logs for studying smartphone screen time characteristics as an alternative to self-report measures in people with suicidal thinking.
  
  

• Our paper “Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data” is published. This study demonstrates how passively collected GPS and accelerometer data from smartphones can be used to quantify changes in mobility, walking, and other motor functions in individuals with ALS.
  
  

• I obtained a green card through the EB-2 NIW process.
  
  

• Our paper “Upper limb movements as digital biomarkers in people with ALS” is published. This work proposes several measures that quantify count and duration of upper limb movements: flexion, extension, supination, and pronation from wearable accelerometer data.
  
  

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