Understanding effects
Causal inference
Experimental design, estimation, and policy learning for settings where complex interactions exist.
Ph.D. Candidate · Tsinghua University
Qianyi Chen
陈谦益Qianyi /tʃjɛn ˈiː/
I develop reliable and practical statistical methods for decision-making in complex systems.
I am a final-year Ph.D. student in Management Science and Engineering at the School of Economics and Management, Tsinghua University, advised by Prof. Bo Li. My research sits at the intersection of causal inference, machine learning, and uncertainty quantification.
- Based in
- Beijing, China
- Research focus
- Causal inference · Uncertainty quantification
01 Research
Reliable methods. Real-world complexity.
My goal is to build effective, scalable, sample-efficient, and easy-to-implement methodology for complex systems.
Knowing what we know
Uncertainty quantification
Conformal prediction with substantially improved conditional coverage.
02 Selected work
Publications & Preprints
COSTA: Covariance-Optimized Design and Causal Inference under Network-Temporal Interference
Preprint
03 Academic community
Beyond
the papers.
Service, teaching & experience
Reviewing
Reviewer for ICML (2025, 2026; Gold Reviewer in 2026), NeurIPS (2024–2026), ICLR (2025–2026), and AISTATS (2024).
Teaching
Teaching Assistant for Probability and Statistics at Tsinghua University, 2022–2026, working with Prof. Bo Li and Prof. Xiaojie Mao.
Industry research
Ant Group
–
Post-training Algorithm Engineer Intern · Ant Star
Agentic post-training for data agents.
Tencent WeChat
–
Research Intern
Causal inference under network interference.
ByteDance
–
Machine Learning Algorithm Engineer Intern
Computer vision and multimodal learning, including CLIP.
Education
Ph.D. Candidate in Management Science and Engineering, Tsinghua University.
Aug 2022 – Jun 2027 (expected)
B.Eng. in Industrial Engineering, with a minor in Data Science and Technology, Tsinghua University.
Graduated Jun 2022
04 Get in touch
Let’s talk research.
Interested in research conversations.
cqy22 [at] mails [dot] tsinghua [dot] edu [dot] cn
Tsinghua University · Beijing