Scholar
Undral Byambadalai
Google Scholar ID: Y1ghEW4AAAAJ
CyberAgent, Inc.
Citations & Impact
Citations
67
H-index
4
i10-index
2
Publications
9
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials' (forthcoming in Econometric Reviews) and 'Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction' (ICML 2024). Involved in various research projects such as 'Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks' (arXiv preprint).
Research Experience
- Currently a research scientist at CyberAgent AI Lab. Previously, a postdoctoral fellow at the Golub Capital Social Impact Lab, led by Susan Athey at the Stanford Graduate School of Business.
Education
- PhD in Economics from Boston University, main advisor Hiroaki Kaido; other advisors include Iván Fernández-Val, Ching-to Albert Ma, and Jean-Jacques Forneron.
Background
- Research interests: at the intersection of econometrics, machine learning, and economics.
Miscellany
- Contact information: Email: undral_byambadalai@cyberagent.co.jp, undral21@gmail.com; Address: 22F Shibuya Scramble Square 2-24-12 Shibuya Shibuya-Ku, Tokyo 150-6121. Software: Distributional Treatment Effects and Regression Adjustment (PyPI, GitHub).
