I am a transdisciplinary researcher dedicated to exploring, quantifying, understanding, and manipulating light radiation through a synergistic combination of hardware and software. My research focuses on computational optical imaging and display across multiple domains: 3D (complex wave fields and volumetric scenes) and 4D (space-time).

I pursue this vision by embedding computation directly into acquisition and processing pipelines—through novel hardware designs, advanced algorithms, and their seamless integration. I develop tools for fundamental challenges in optical imaging through a four-stage pipeline:

  • Theory: Rigorous formulations of the underlying physical phenomena
  • Numerical modeling: Building forward models that connect optical physics to measurable data
  • Inverse computation: Solving forward models to recover object internal states
  • Applications: Facilitating cross-disciplinary implementations while accommodating domain-specific constraints

My central goal: bridge the gaps among core components of computational imaging systems — enabling genuine hardware-algorithm co-design. This encompasses:

  • Differentiable Imaging: Developing uncertainty-aware, jointly optimized optical imaging systems
  • Advancing imaging modalities: Pushing the physical and computational boundaries of holography, light field imaging, coherent diffraction imaging, ptychography, and microscopy for robust 3D and 4D capture

By weaving together theory, modeling, computation, and application, I aim to unlock new capabilities in imaging — making previously invisible phenomena observable and quantifiable.