CV
Education
- BSE in Computer Engineering, University of Michigan (Ann Arbor), 2020
- MSE in Biomedical Engineering, University of Michigan (Ann Arbor), 2021
Research experience
- 12/2019 to Present - Master’s Researcher - U-M Restorative Neuroengineering Group
- Applying signal-processing and machine-learning methods to improve the efficacy of subthalamic deep brain stimulation (STN-DBS) surgeries for treating the motor symptoms of Parkinson’s disease.
- Programming neuromodulation equipment used during surgery to record electrophysiological data from patients (LabVIEW).
- Supervisor: Parag Patil, MD, PhD
- 09/2017 to 09/2019 - Undergraduate researcher - U-M Ultrasound Therapy Lab
- Investigated the physics of histotripsy: non-invasive therapy that uses focused ultrasound to ablate tissue
- Analyzed acoustic data from ultrasound transducers/receivers to measure the energy efficiency of histotripsy therapies (MATLAB). Worked extensively with ultrasound transducer hardware, FPGA microcontrollers (Verilog, C), and networking equipment (Python).
- Supervisor: Zhen Xu, PhD
Publications
Comparison of signal decomposition techniques for analysis of human cortical signals
Duraivel, S., Rao, A. T., Lu, C. W., Bentley, J. N., Stacey, W. C., Chestek, C. A., & Patil, P. G. (2020). "Comparison of signal decomposition techniques for analysis of human cortical signals." Journal of Neural Engineering.
Coalescence of residual histotripsy cavitation nuclei using low-gain regions of the therapy beam during electronic focal steering
Lundt, J., Hall, T., Rao, A. T., Fowlkes, J. B., Cain, C., Lee, F., & Xu, Z. (2018). "Coalescence of residual histotripsy cavitation nuclei using low-gain regions of the therapy beam during electronic focal steering." Physics in Medicine & Biology.