About Me
Hello! This is Jiachen.
▶
More about my name…
Jiachen is pronounced “chia-ch’en”, and my name is written as
in Chinese. Feel free to call me James!
I’m a Ph.D. student in Computing and Mathematical Sciences at Caltech, where I am fortunate to be advised by Professor Anima Anandkumar. My research lies at the intersection of generative modeling and scientific computing.
Prior to my PhD, I completed my undergraduate studies at Tsinghua University, where I had the privilege of working with Professor Jun Zhu and Professor Hang Su on physics-informed machine learning. I am also grateful for the opportunity to conduct research at Stanford University, where I worked with Professor James Landay and Professor Monica Lam on human-AI interaction.
Research Interests
My long term goal is to develop a unified framework that learns and uses efficient representations of data, domain knowledge, and available observations to model complex systems. I am particularly interested in generative approaches to achieve this objective.
I am interested in the intersection of generative modeling and physical sciences. Scientific problems are often ill-posed, and the strong priors offered by generative models can significantly enhance robustness and efficiency. However, these models typically require vast amounts of data and lack physics guarantee. Therefore, I focus on developing scalable, uncertainty-aware methods for generative models + scientific inverse problems.
News
Publications
-
NeurIPSW
Duy Nguyen*, Jiachen Yao*, Jiayun Wang*, Julius Berner, Anima Anandkumar.
NeurIPS Workshop on Learning from Time Series for Health, 2025.
-
ICMLW
Bahareh Tolooshams*, Aditi Chandrashekar*, Rayhan Zirvi*, Abbas Mammadov, Jiachen Yao, Chuwei Wang, Anima Anandkumar.
ICML Workshop on World Models, 2025.
-
NeurIPS
Jiachen Yao*, Abbas Mammadov*, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar.
Neural Information Processing Systems (NeurIPS), 2025.
-
NeurIPS
Zhongkai Hao*, Jiachen Yao*, Chang Su*, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, and Jun Zhu.
Neural Information Processing Systems (NeurIPS), 2024.
-
Jackie Yang*, Jiachen Yao*, Yingtian Shi, Monica Lam, and James Landay.
-
Songming Liu, Chang Su*, Jiachen Yao*, Zhongkai Hao, Hang Su, Youjia Wu, and Jun Zhu.
-
ICML
Jiachen Yao*, Chang Su*, Zhongkai Hao, Songming Liu, Hang Su, and Jun Zhu.
International Conference on Machine Learning (ICML), 2023.
-
CHI
Yue Qin, Chun Yu, Wentao Yao, Jiachen Yao, Chen Liang, Yueting Weng, Yukang Yan,and Yuanchun Shi.
Conference on Human Factors in Computing Systems (CHI), 2023.
* denotes equal contribution
Services
As a reviewer
Invited talks
Honors and Awards
Undergrad Honors
Personal Interests
Hobbies
- Badminton, Tennis
- Blogging, Movies
- Cooking
- Coding passion projects, maintaining my cloud infrastructure
Technical Skills
- Python, C/C++, JavaScript/TypeScript, MATLAB
- PyTorch, Jax, Huggingface, React, Vue
- Linux, Git, Docker
- Prompt engineering
Powered by Jekyll and Minimal Light theme.