Hi there,
I’m Haoda Song. I grew up in China and moved to the San Francisco Bay Area a couple of years ago. Some of my favorite years were spent studying statistics at Miami and Brown. Then, I began exploring personal investments and applying math in “real-world” contexts, which eventually led me to work as a data scientist at Intuitive Surgical, a leader in surgical robotics. (Now the “general” experience ends here lol)
After a year of exploration, I shifted paths to support founders, helping build a venture capital community and collaborating on my friend’s company, Memories AI — a company dedicated to preserving human memories digitally. Over time, I realized that what excites me most is helping people grow into better versions of themselves, especially in areas where I can contribute meaningfully. So I quited. All of my thoughts, writings, and learnings from this journey are collected here under Mind Architecture.
Outside of this main project, you’ll often find me exploring my three core interests:
Cultivation: It means deliberately nurturing and developing yourself, the way a gardener tends to plants. It’s about patiently shaping your mind, character, and habits so you can grow into your best form. Almost everything I’ve pursued connects back to growth. The books I read, the videos I watch, and the topics I dive into all point to the same question: how can we grow naturally? Many theories about personal growth can feel burdensome or incomplete. With Mind Architect, my goal is to cut through the noise and provide clear, thoughtful contents that encourage growth without unnecessary pressure.
Storytelling: I spent a year in enterprise sales and several years presenting my work to diverse audiences. What I’ve learned is this: explanations are not just about information — they’re about delivering the energy behind what you believe. That’s how ideas connect with people.
Experimentation: Growth requires action, and action often means experimentating a lot. Running a single experiment is easy; continuing to experiment, especially through failure, is much harder. As a data scientist, I know that ~99% of experiments would fail. In many cases, people sometimes bend results to prove a point — but in life, there’s no way to cheat yourself. Real growth comes from honest, repeated experimentation, even when the outcomes aren’t what you hoped for.
