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Victor Chan has a diverse work experience spanning over two decades. Victor is currently serving as the Chief Executive Officer and Co-founder of Machyna, Inc. since April 2021. Before that, they worked as an Engineer at a stealth startup from November 2020.

From January 2019 to October 2020, Victor was the Vice President of Machine Learning at KELZAL (QELZAL CORPORATION). Prior to this, they had a long stint at Qualcomm Research where they held the position of Founder of the Machine Learning team and ML Systems Team Lead. In this role, Victor developed an innovative adversarial technique for fooling the HMAX object recognition model, which was published in their intern's MIT thesis in 2010. This work predates a significant paper published in 2015 that used the same technique.

Victor also has experience in the art industry, having worked as a Member Artist at the Art-A-Fair Art Festival from July 2004 to October 2010. Victor started their career at Qualcomm in March 2003, where they served as the Camera Tuning Team Lead. During this time, they developed and patented an industry-first machine learning-based automatic camera tuning tool.

Overall, Victor Chan's work experience showcases their expertise in machine learning, leadership, entrepreneurship, and their passion for both technology and the arts.

Victor Chan's education history begins with their attendance at Clementi Middle School, where they did not pursue a specific degree or field of study. After completing middle school, they enrolled at The Hong Kong Polytechnic University in 1985, where they focused on Electrical and Electronics Engineering for a year.

In 1988, Victor transferred to the University of Rochester, where they obtained their Bachelor's degree in Cognitive Science and Computer Science in 1990. Following this, they joined the University of Southern California for their Master of Science (M.S.) degree in Computational Neurobiology, which they completed in 1995.

Victor's pursuit of higher education continued, and in 2000, they returned to the University of Southern California once again. This time, they pursued a Master of Science (M.S.) in Computer Science, which they successfully obtained in 2002.

Throughout their education history, Victor displayed a consistent interest in computer science, computational neurobiology, and cognitive science.