Projects
IMU-based Volitional Control of Powered Prostheses
Intent Recognition via A-mode Ultrasound Sensing
Ultrasound-based Volitional Control of Prostheses
More Coming Soon …
Mechanical Engineer | Robotics | Wearables | Machine Learning
I’m a Research Scientist with a background in Mechanical Engineering and a passion for translational science. My work focuses on wearable robotics, real-time algorithms, and scalable data systems that enable machine learning in practical, human-centered applications.
More Coming Soon …
Maintained internal data analysis pipelines and built robotic test systems to study and improve human–robot interaction. Developed force-based algorithms to detect interaction events, enabling safer and more reliable wearable EMG hardware.
Developed real-time control algorithms for powered prostheses, including IMU- and ultrasound-based neural networks for user-intent recognition. Designed and tested controllers with amputee participants, advancing translational research in wearable robotics.
Supported EDA tool adoption by developing technical demonstrations and collaborating with engineering teams to highlight real-world applications.
Tested ablative materials for high-temperature applications, developing new experimental protocols to ensure reliable data. Documented procedures and safety practices to train senior design teams and support lab operations.
Performed CFD modeling and experiments on server cooling systems to prevent airflow recirculation and overheating. Provided design recommendations that improved thermal performance and guided next-generation hardware development.
The University of Texas at Austin
Minor: Mathematics
2012 – 2017
The University of Utah
(Robotics Track)
2018 – 2023