Stanford University We look like our names, Professor Michal Kosinski (2019 – present)

• Examined whether humans and facial recognition algorithms can identify one’s name from one’s face after controlling for age, gender, and ethnicity.

Convergence in the physical appearance of spouses, Professor Michal Kosinski (2017 – 2019)

• Examined whether spouses’ faces become more similar over time. Their facial similarity is estimated using two independent methods: human judgments and a facial recognition algorithm.
• The results show that while spouses’ faces tend to be similar at marriage, they do not converge over time.
• The paper has been published in Scientific Reports

Jackrabbot, Stanford Vision and Learning Lab (Spring – Autumn 2018)

• Created a crowd-sourcing website on Amazon’s Mechanical Turk (MTurk) to collect data to train Jackrabbot, a self-navigating automated robot designed to operate in pedestrian spaces.

Special Studies and Reports in Electrical Engineering, Professor Balaji Prabhakar (2014-2017)

• Developed a user interface for alert detection in data centers.
• Developed a voice-based navigation iPhone application.
• Investigated indoors positioning using smartphone sensors (accelerometer and gyroscope).
• Developed an Android application to calculate displacement from sensor measurements and filter sensor noise.

Capri Fuel, Stanford Center for Societal Networks (Autumn 2013)

• Implemented the user interface website for the project, a redemption option from Congestion and Parking Relief Incentives Program (Capri) that let users earn cash rewards for refueling.

Capri carbon footprint data analysis, Research Experience for Undergraduates Program (Summer 2013)

• Computed the amount of carbon footprint that Stanford commuters who joined Capri can save via geocoding.
• Designed a database and performed data analysis on the correlation between user characteristics and carbon footprint behaviors in Ruby on Rails.

Chulalongkorn University, Thailand Non-intrusive load monitoring (Summer 2012)

• Created a power consumption edge analysis program in Matlab for non-intrusive load monitoring (NLIM) in households. The University adopted the program for its NLIM research.

Stanford University, Stanford, CA

• Ph.D. in Electrical Engineering – January 2021
• M.S. in Electrical Engineering – June 2015
• B.S. in Electrical Engineering, with Distinction – June 2015