Haoran Zheng
AI Researcher
Current Pre-doc Fellow at The University of Chicago Booth in Quantitative Marketing with Prof. Andreas Kraft. I'm applying to PhD programs in Computer Science or Marketing this cycle!
What guides my research
Information — bits, not atoms — is the fundamental building block of the universe.
No two intelligences are exactly alike, but they do often rhyme.
My work spans Neuromorphic Computing (improving language models by drawing inspiration from human cognition), AI Consciousness, and AI Interpretability. Most recently, I designed AMOR, a hybrid architecture inspired by Daniel Kahneman's Thinking, Fast and Slow — appending a few slow, deliberate attention layers gated by the model entropy to a fast, intuitive recurrent model (advised by Dr. Chen Shani – Stanford). More on my Google Scholar.
In past lives, I did my Master's in Data Science at The University of Chicago (GPA 4.0), triple-majored in Economics, Finance, and History at The Ohio State University (top 1% Honors), worked as a research assistant in Behavioral Science (Dr. Nick Epley – UChicago) and in History (Dr. Christopher A. Reed – OSU), served as a finance analyst at NASDAQ-listed CAAS Inc., and taught Statistics at Ohio State.
