Experience

National Center for Supercomputing Applications

• United States
• Research Services
• 100 - 200 Employee

• Graduate Student Researcher

  • Aug 2021 - Present

  Implementing machine learning models for detecting depression in voice recordings. Implementing machine learning models for detecting depression in voice recordings.



University of Illinois Urbana-Champaign

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Sep 2021 - Dec 2021

  Predicting location from signal strengths can be difficult due to noise and inconsistent environments. I created a relative wireless localization system that eliminates environment as a factor and locates a device based on the ratio between signal strengths from 802.15.4 beacons. Predicting location from signal strengths can be difficult due to noise and inconsistent environments. I created a relative wireless localization system that eliminates environment as a factor and locates a device based on the ratio between signal strengths from 802.15.4 beacons.



National Center for Supercomputing Applications

• United States
• Research Services
• 100 - 200 Employee

• Undergraduate Research Fellow

  • May 2019 - Jul 2019

  Implemented machine learning models on the physical properties of layered semiconductors to identify the importance of features in predicting their optical properties. Implemented machine learning models on the physical properties of layered semiconductors to identify the importance of features in predicting their optical properties.