Click here to view my CV. The updated research projects are here.

H A R V A R D M E D I C A L S C H O O L — M G H

Over 20 million people in the United States are diagnosed with asthma. Nearly 11 of which lost their lives everyday. With an increasing death rate since 1980, an effective treatment is undeniably crucial. Current treatments for asthma include delivery of bronchodilatory agents to central airways, and thermal energy to the wall of central airways to reduce the airway smooth muscle ability to excessively contract.

However, there is no current validation that treating central airways will affect overall functional changes in the lung. My PhD research aims to identify groups of airways that should be targeted for treatment in order to improve lung functions in asthmatic patients. Interestingly, results I found truly revolutionize current conventional treatments.

In fact, I discovered that structural changes in large central airways could not predict changes in alveolar ventilation in in vivo human lungs. This means that targeting large central airways for asthma treatment can only minimally affected the distribution in airflow to alveoli. Treating central airways is unlikely to cause a significant improvement on lung functions. My finding, therefore, prompts for a new method of therapeutic drug delivery in treating asthmatic lungs. This finding has a great potential in impacting the future direction and improving the effectiveness of treatments for asthma.

M I T M E D I A L A B — B I O M E C H A T R O N I C S

During my master degree in the MIT media lab, my research contributed to the improvement of the neural control of movement that serves as an interface in smart prostheses. I implemented the complex model of neural control of movement that included a positive force feedback controller, and implemented such control system in in vitro skeletal muscles. With physiologically relevant feedback parameters, a stable periodic motion was observed. The implementation of this positive force feedback controller in neural prostheses has the potential to greatly enhance the mobility of many amputees around the world, giving them the opportunity to excel beyond what a normal able-bodied person can do.

R O B O T I C S  I N S T I T U T E — C A R N E G I E  M E L L O N  U N I V E R S I T Y

MICRON is a handheld robotic device, was developed to actively cancel tremors in a surgeon’s hands during operations to improve the accuracy of microsurgery. To perform this task, MICRON requires an accurate signal of position and orientation of the device’s tip, which are obtained from the two main sensors: accelerometers and magnetometers. I have invented the software that improves the prediction of MICRON’s orientation from the magnetometers’ signals reducing the prediction error down to 1 – 4% depending on the number of training samples collected during calibration.