The OIS Lab develops label-free optical imaging and computational microscopy tools to quantify biological structure and function across applications spanning in vivo clinical imaging, slide-free histology, hematology, organoids, and cell manufacturing. We are particularly interested in methods that combine innovative optical systems with physics-based reconstruction and AI to enable new discoveries and create clinically actionable imaging.
The postdoctoral associate will lead an independent research project (with mentorship and collaboration) that may include:
Next-generation handheld/probe-based implementations for in vivo clinical imaging
Computational reconstruction and real-time pipelines
AI-enabled analysis
Development of next generation point of care systems
DUV microscopy for rapid cytology/hematology measurements
Longitudinal, noninvasive imaging of 3D models (e.g., organoids) and translational workflows
Successful candidates will have:
A PhD in biomedical engineering, electrical/computer engineering, mechanical engineering, physics, or related discipline
The ability to independently design and execute experiments and interpret data
A strong record of contributions to peer-reviewed research publications.
Familiarity with programming languages such as MATLAB and Python, and the ability to work with large imaging datasets
Excellent communication and presentation skills, with the ability to prepare high-quality manuscripts for publication
Preferred Expertise (one or more)
o Optical system design / microscopy / instrumentation
o Computational imaging / inverse problems / optimization
o ML/AI for imaging
o Laser-based imaging / nonlinear optics
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