Phd – Novel Algorithms That Transform Pupil-Diameter Time Series To Biomarkers For Disease


What Our Eyes Can Tell about Our Health?

Computational methods for pupil-based disease diagnostics

Pupils are a diagnostic window onto the eye and brain circuits that govern their movements and hold the promise of contactless disease screening. However, the journey from pupil response to disease biomarker is a challenging road paved with complicated computational methods and ingenious visual stimulus design. A biomarker refers to a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention (US National Institutes of Health. Biomarkers Definitions Working Group, 1998). When combined with computational methods to allow systematic data analyses at scale to discover disease, immune, and treatment-response signatures, biomarkers can be used to develop novel diagnostics.


  • We seek a PhD candidate with a background in computer science, computational neuroscience, or applied mathematics to join a multidisciplinary team developing novel algorithms that transform pupil-diameter time series to biomarkers for disease.
  • Students with strong analytic and programming abilities combined with an interest in solving big health problems through engineering are encouraged to apply.

Please click here to apply:

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