About Me
I am a Mechanical Engineer with a Ph.D. from Georgia Tech, combining over a decade of experience in acoustics, vibrations, transducer engineering, and hardware validation across industry and academic research. I started my career in the automotive industry, where I spent three years leading powertrain NVH optimization: designing active noise control systems on embedded DSP platforms, tuning exhaust psychoacoustics, quantifying noise and vibration transfer paths, and taking products from prototype through mass production.
That foundation in acoustic system design led me to graduate research, first at Virginia Tech studying tire vibroacoustic and structure-borne noise prediction, then at Georgia Tech developing acoustic hologram-based transducer systems including Multiphysics simulation in COMSOL, skull aberration correction, and passive acoustic mapping. Most recently at Meta Reality Labs Research, I built compact wearable ultrasound sensing for AR/VR, designing transducer arrays, beamforming pipelines, and real-time DSP systems integrated into high-volume consumer electronics under strict spatial and cost constraints.
Across these roles, I bridge computational acoustic modeling with hands-on hardware prototyping to deliver systems that perform in the real world. My work spans the full development cycle from simulation and bench characterization through production validation, with a consistent focus on performance, integrity, and manufacturability.
Organizations I have worked at
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.