“Indeed, clarifying philosophical issues was the original point of their work; the technological payoffs only came later!”
Hi, I am a second-year Ph.D. student in Statistics and Data Science at Southern University of Science and Technology (SUSTech).
I am very fortunate to be advised by Prof. Yuxin Tao.
Before my Ph.D., I worked as a research assistant with Prof. Jiaye Teng, who introduced me to this field and shaped much of my early research taste.
Recently, I have been thinking more about the scale at which I want to work. In The End of Science, John Horgan argues that scientific progress faces diminishing returns: as fields mature, more and more work is required between major discoveries, while much of research becomes filling in the details. My own research interests have gradually shifted from individual algorithms and theories toward larger systems, broader structures, and the principles that organize them.
Previously, in my brain...
Recently, I have been thinking about what I call wide research. I am drawn to the unexpected connections between ideas that seem far apart. A problem becomes more interesting when it crosses into another field and reveals something more fundamental. To me, AI makes this freedom to move across fields possible.
Publications
Scheduling Recursive Reasoning in Looped Transformers
