Nilson Chapagain

ABOUT ME

My training is in statistics, with interests in offline policy learning, causal inference, and statistical learning for sequential decision-making.

But a field of study is only one way to introduce a person. Much of what shapes me happens Shows an explanation. Press Arrow Down to enter the preview, or Escape to dismiss it.: a question that follows me home, a conversation I reconsider, a small decision nobody sees.

Above an early sketch of his Shows an explanation. Press Arrow Down to enter the preview, or Escape to dismiss it., Darwin wrote, “I think.” I like the room those words leave for doubt. Shows an explanation. Press Arrow Down to enter the preview, or Escape to dismiss it., too, recognized the value of remaining with uncertainty rather than rushing toward an answer. That is a patience I hope to cultivate: holding an idea closely enough to examine it, and loosely enough to change my mind.

Yet learning is never entirely solitary. Marcus Aurelius began his Shows an explanation. Press Arrow Down to enter the preview, or Escape to dismiss it. by remembering what he had learned from others. I like that an account of the self could begin with gratitude. Whoever I become will carry traces of someone’s patience, someone’s difficult question, someone who made room for me before I knew how to ask. I hope to recognize those gifts and pass them on.

EDUCATION

Texas A&M University

Ph.D. in Statistics

2022–2027

Stony Brook University

B.S. in Applied Mathematics and Computer Science

2018–2022

Publications & Preprints

Cao, T. H., Chapagain, N., Lee, H., Thi, P. N., & Thieu, N. N.[PDF]

Optimal Control of Several Motion Models

Journal of Optimization Theory and Applications•2025

Poudel, B., Chapagain, N., Kumar, A., & Jiang, X.[PDF]

Reasoning-Search-Augmented LLMs: An Operational Taxonomy, Benchmark Analysis and Controlled Evidence Synthesis

Laha, N., Chapagain, N., Cicherski, V., & Sonabend-W, A.[PDF]

Dynamic Treatment Regimes via Smooth Surrogate Loss for Arbitrary Number of Treatments per Stage

Chapagain, N.[PDF]

Support-Aware Offline Policy Selection for Two-Stage Recommender Systems

Software

Chapagain, N., & Pati, D.[CRAN][PyPI][Documentation]

Variable Selection using Shrinkage Priors (VsusP)

Chapagain, N.[PyPI][Documentation]

QuantileMix: Quantile g-computation in Python

Chapagain, N.[PyPI][Documentation]

KernelMix: Bayesian kernel machine regression in Python

Chapagain, N.[PyPI][Documentation]

AShrink: Adaptive shrinkage in Python

Chapagain, N.[PyPI][Documentation]

JointShrink: Multivariate adaptive shrinkage in Python

Under Review

Chapagain, N., Li, K., & Selukar, S.

A bias-variance tradeoff in time-dependent Cox models with duration-dependent effects

Chapagain, N., Wong, R., & Laha, N.

Doubly Robust Dynamic Treatment Regimes via Simultaneous Direct Search

Work in Progress

Chapagain, N., Bhattacharya, S., & Laha, N.

Multi-Stage Dynamic Treatment Regimes under Network Interference

Cao, T. H., Chapagain, N., & Jeong, S. M.

Calibration of Neural Sweeping Dynamics under Hard Constraints: Strong Discrete Approximation and Contact-Aware Adjoint Sensitivity

Nilson Chapagain, smiling outdoors