- Faculty, Management, Sasin School of Management
- AI Strategist, Sasin School of Management
- Technical advisor, Edsy (August 2020 – present)
- Co-founder, Tenxor (July 2019 – December 2020)
- Marketing intern, Tick Tock Networks (Summer 2019)
- Technical advisor, Ajaib (Spring 2018)
- Effective Philanthropy Lab summer intern, Stanford Center on Philanthropy and Civil Society (Summer 2017)
- Software engineering intern, Urban Engines (Summer 2015)
- Interim engineering intern, Qualcomm (Summer 2014)
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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- Special Lecturer for Introduction to New Ventures, Sripatum University International College
- Graduate TA Advisor, Stanford University
- Graduate Teaching Fellow for EE 102A (Signal Processing and Linear Systems I), Stanford University
- Course Assistant, Stanford University
- Section Leader for EE 108 (Digital System Design), Stanford University
- EE 108 Lab Support Staff, Stanford University
- Section Leader for EE 102A, Stanford University
- James F. Gibbons Outstanding Student Teaching Award – June 2018
- The President’s Award for Academic Excellence in the Freshman Year, Stanford University – September 2012
- Wadsworth Prize in Physics, Phillips Academy – June 2011
- IUPAC Prize for Best Performance in Theoretical Exam (perfect score) and Gold medal, International Chemistry Olympiad – July 2010
- King’s Scholarship (first ranked recipient), Royal Thai Government – February 2010
- Silver medal, International Chemistry Olympiad – July 2009