About
tldr: Optical physicist building next-generation AI hardware using light. Led the first room-temperature demonstration of polariton logic gates; now targeting AI accelerator development. Passionate about scientific research, innovation, and the development of future technologies.
Physicist with 6+ years pioneering optical and neuromorphic computing architectures. Led the first demonstration of room-temperature universal logic gates using 'liquid light' polaritons — a novel non-von Neumann computing approach with potential for parallel, low-power AI inference. Deep expertise in condensed matter physics, device physics, ultrafast optical systems, sophisticated experimental setups, and hardware-software co-design. Published in Nature Communications and Physical Review Letters. Experienced in building real-time data acquisition systems and integrating novel hardware with software control stacks. Seeking to apply optical computing expertise to next-generation AI accelerator development. Passionate about scientific research, innovation, and the development of future technologies.
Education
Experience
- Secured $340K in grant funding as PI/Co-I for optical computing research.
- Led R&D of optical computing hardware achieving first room-temperature demonstration of cascadable, universal polariton logic gates — enabling all-optical Boolean operations without electronic conversion (Nature Communications, 2024).
- Designed novel neuromorphic device architecture using Bose-Einstein condensates for massively parallel optical processing with sub-nanosecond switching speeds.
- Developed programmable spatial control system for optical computing elements using SLMs and real-time feedback, enabling reconfigurable architectures (Phys. Rev. Lett., 2023).
- Built end-to-end hardware-software stack: optical setup → real-time acquisition (100+ GB/day) → automated analysis pipeline, reducing experiment iteration cycles by 5×.
- Demonstrated first nanosecond-scale optical switching in organic polariton devices — 1000× faster than previous organic systems, enabling viable clock speeds for optical computing (Appl. Phys. Lett., 2020 — Editor's Choice).
- Developed computational models for coherent light-matter interactions, validated against experimental data for predictive device design.
- Built automated optical characterization systems integrating ultrafast lasers, spatial light modulators, and high-speed detectors with software control.
- Investigated novel material systems (organic semiconductors, perovskites) for room-temperature optical computing applications.
- Collaborated with device fabrication teams to optimize microcavity structures for strongly interacting light-matter systems.
Publications
* co-first author · † corresponding author
Skills
Research Timeline
Media
PRB Letter
Nature Communications
PRL
Adv. Optical Mater.
Contact
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