About Me
I am a Mechanical Engineer with a Ph.D. from the Georgia Institute of Technology and over a decade of R&D experience spanning academia and industry. My research focuses on ultrasound system development — from multi-element phased array design and beamforming optimization to GPU-accelerated wave propagation simulation and real-time signal processing. Most recently, as a Research Scientist Intern at Meta Reality Labs Research, I developed wearable ultrasound sensing technologies for augmented reality and robotics platforms, including compact transducer arrays, Doppler-based motion rejection algorithms, and SVD-based signal filtering pipelines. My doctoral work at Georgia Tech centered on transcranial focused ultrasound therapy, where I designed acoustic hologram systems, implemented aberration correction through heterogeneous skull bone, and built passive acoustic mapping tools for non-invasive brain treatment monitoring. Across all of these efforts, I combine rigorous computational modeling with hands-on hardware prototyping to translate complex acoustics challenges into practical engineering solutions.
Organizations I have worked with
Research Philosophy
Research Areas & Expertise
Wearable Ultrasound Sensing
Engineering wearable ultrasound transducer sensing for AR/VR platforms. Expertise in multi-element system optimization, beamforming parameter tuning, Doppler-based motion rejection, and SVD-based clutter filtering for high-sensitivity physiological monitoring.
Transcranial Ultrasound Therapy
Developing acoustic hologram-based systems for non-invasive brain therapy. Implementing heterogeneous angular spectrum approaches for skull aberration correction, beamforming sequence optimization, and parametric array techniques for trans-skull monitoring.
Signal & Image Processing
SVD-based spatiotemporal filtering, strain imaging and elastography, Doppler flow processing, advanced beamforming (delay-and-sum, angular spectrum), and ultrafast high-frame-rate acquisition for transient event capture and volumetric image reconstruction.
Vibroacoustic Modeling & NVH
Experimental modal analysis, structural noise transfer path quantification, and active noise control with embedded DSP. Industry experience in powertrain NVH optimization, psychoacoustic tuning, and real-time adaptive filtering (FxLMS) on TMS320 platforms.
Neuromodulation Biophysics
Exploring biophysical mechanisms of ultrasound neuromodulation using high-frame-rate (ultrafast) acquisition to capture transient neural responses. Developing novel tools to control neuronal circuits, advancing non-invasive brain modulation.
Simulation & Scientific Computing
GPU-accelerated nonlinear wave propagation, differentiable physics simulators, data-driven acoustic modeling, machine vision, imaging with learned models, optimization techniques, and model order reduction.