A new guest essay on Eugene Yan's website tackles impostor syndrome head-on. Written by Susan Shu, the piece opens with the observation that even high-achieving individuals experience feelings of fraudulence, a pattern many in the AI and machine learning community will recognize from their own careers.
The essay focuses on Shu's personal journey: how she encountered impostor syndrome, and the specific practices and mindset shifts that helped her cope. Because the post is a first-person account rather than a systematic study, its value lies in relatability and practical anecdote, not generalizable findings.
For readers in AI/ML, where the field evolves quickly and expertise is constantly redefined, such personal narratives can be as useful as technical tutorials. This piece does not promise a cure, but it offers a grounded reminder that self-doubt is common — and manageable.