Women in science: progress, power, and the stories we tell

In this episode of Round Table, Heyang interviews Li Tianzhen from DP Technology about the use of AI in scientific research and its impact on various fields like drug development and material science. Li explains how AI can accelerate scientific discovery by analyzing vast amounts of data and providing insights that would take traditional methods much longer. They also discuss the potential risks of AI, such as biased data and ethical concerns, and the importance of maintaining human oversight. The conversation shifts to the challenges women face in the tech industry, including subtle biases and societal expectations. Li shares strategies for overcoming these barriers, emphasizing the need for systemic changes, equal opportunities, and the importance of women sharing their stories and achievements to inspire future generations. She also touches upon cultural differences in leadership styles between Eastern and Western workplaces and highlights the importance of flexibility in management.