Digital Phenotyping

to

Digital Biomarkers

THE

LAB

The SATH Lab directed by Dr. Aarti Sathyanarayana

Signal processing & Artificial Intelligence for Time variant Health data

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Physical Health

Activity

Biomarkers

Recovery

Mobility

Mental Health

Anxiety

Depression

Mood

Stress

Cognitive Load

GPS Location

Accelerometer

Smartphone

Connectivity

Communication

Screen Time

Heart Rate

Temperature

Smartwatch

Accelerometer

Electrocardiogram

Electroencephalogram

Biomedical Devices

JOIN US

We are looking for fellow innovators and collaborators who share our mission

Join us now! 

Our lab hires at multiple levels of experience: undergraduate, masters, doctorate and post-doctorate.

SCIENTIFIC

We’re Changing the Way the World Thinks About Personal Health

  • How can we better understand sleep, stress, & mental health, using data-driven tools? 

  • Can passively collected lifestyle data quantitatively measure depression, stress & anxiety?

  • How does the timing of health-related interventions affect their efficacy? 

  • Can we quantify the conditions and susceptibilities of the brain by measuring it's electrodynamic state? 

  • Can we  revolutionize clinical treatment  plans by directly measuring the efficacy of medications in the brain?

Healthy Lifestyle Factors

COMPUTATIONAL

We Develop Tools and Approaches That Enhance Our Ability to Discover New Digital Biomarkers & Phenotypes

  • How can we cluster multidimensional, multiscale, and multivariate, longitudinal time series data? 

  • What approaches can we use to maintain prediction quality despite intermittently missing longitudinal data? 

  • Which change point detection algorithms are most effective for interpreting smartphone/smartwatch/EEG data? 

  • How does signal artifact affect the mathematical values of key nonlinear measures (e.g. entropy, RQA, etc.)?

  • How can we use deep learning methods to identify micro-activity in high-frequency longitudinal signals?   

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Ongoing Work
 
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We are actively looking for Northeastern undergraduate students from all backgrounds to work part-time on our projects at the forefront of digital health. If you are enthusiastic, eager, and ready to learn, apply now! No experience necessary.  

 

Please introduce yourself via email and attach a copy of your CV/resume

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We are actively looking for Northeastern graduate students who are passionate about innovating in the digital health space.

 

Our research requires a variety of different expertise, so if you interested in getting involved, please do not hesitate to reach out!  

We are currently not hiring postdoctoral fellows, software developers or any support staff. Please stay tuned, as this may change in the future! 

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