About

🌟 Hello there! I’m Kehang Zhu 🌟

Currently, I’m diving deep into my third year of PhD studies at Harvard University’s esteemed Physics Department. My research is blending the power of Large Language Models with the intricacies of Economics and Social Science 🎩✨

I’ve been incredibly lucky to have some amazing guides on this journey, jointly advised by Prof. John Horton from MIT Sloan’s IT group and Prof. David Parkes from Harvard’s EconCS group.

🚀 New working paper on LLM 🚀

• Automated Social Science: A Structural Causal Model-Based Approach (With John Horton and Benjamin Manning)

🚀 My Work and Research 🚀

In the short term, I am dedicated to constructing a sandbox environment powered by large language models. This innovative platform will serve as a testing ground for a variety of socio-economic experiments,

Looking ahead, my long-term scope concerning two questions:

1. How can AI enhance our understanding of ourselves and our intrinsic nature?
2. How can AI be leveraged to foster a more enlightened and equitable society?

Recently, I was selected as the Introduction to Technical AI Safety Fellow with the AI Safety Student Team

Don’t hesitate to email me if you are interested in research opportunities or want to collaborate. I constantly mentor undergrad and grad students from Harvard, MIT and other schools.

🎓 My Journey So Far 🎓

My academic voyage started with a B.A. in Physics from the University of Science and Technology of China, where I was elated to graduate with the highest honors, both within the department and across the university!

Before joining Harvard, I was very lucky, undeservedly so, to be a visiting scholar at the Massachusetts Institute of Technology. During this period, I was profoundly honored to work under the guidance of Nobel Laureate Prof. Frank Wilczek, whose intellectual prowess has been a beacon of inspiration for me.

I am also deeply grateful for the enriching collaboration with Prof. Hanspeter Pfister from Harvard Viusal Computing Group, in the fields of visualization and human-computer interaction (HCI).

🍃 A Pinch of Extra 🍃

When I’m not geeking out over research, you can find me capturing the world through my camera lens 📸, embracing the beauty of nature 🌲, hitting the ski slopes 🎿, or trekking through scenic trails 🥾.

Selected Honors

• Introduction to Technical AI Safety Fellowship, 2024
• APS March Meeting Invited speaker, 2024
• K9 fellowship, 2023
• ICLC Invited speaker, 2023
• APS March Meeting Invited speaker, 2022
• Purcell Fellowship (Harvard), 2021
• Highest Honors, Honors Thesis Program at USTC, 2021
• Guo Moruo Scholarship (Highest honor for USTC undergrad students), 2020
• Yan Jici Scholarship (Highest honor for Physics department undergrad students), 2020
• Lixin Tang Scholarship (top 0.5%), 2019
• National Scholarship (top 1%), 2019
• National Scholarship (top 1%), 2018