Whitney Zhang, a PhD student in economics at MIT, explores the intersection of technology and labor policy, focusing on how organizational decisions affect workers across various pay scales. Her research includes a study on ChatGPT, which found that the AI tool significantly boosts productivity, especially for lower-performing workers. Additionally, she examines the effects of unpredictable work schedules on low-wage employees, aiming to understand how such practices impact their quality of life. Zhang advocates for an evidence-driven approach to policy that prioritizes the needs of workers. Her work is supported by the National Science Foundation and aims to inform both small businesses and large corporations about effective scheduling practices and their implications for productivity and employee well-being.