Everest Yang

I am a Computer Science student at Brown University focusing on robotics, advised by Prof. George Konidaris. I also work with Prof. Igor Shuryak at Columbia University Irving Medical Center. I was honored to receive the 2026 Barry M. Goldwater Scholarship.

I am broadly interested in action-conditioned world models, continual RL under non-stationary dynamics, and diffusion-based policy learning for robot manipulation. My research goal is to build general-purpose policies that enable robots to adapt and act robustly in the real world.

I'm currently interning at Netflix Research, working on causal Transformer architectures and PyTorch infra. I've also had the chance to work on distributed training for Lattice and Fury YFQ-44 at Anduril Industries, LLM inference and post-training at Amazon Web Services (AWS), vision-based robotic navigation for neurosurgery at Zeta Surgical, and Wi-Fi mapping aboard the ISS with Astrobee data at NASA Research.

If you'd like to chat, please reach out — I love meeting new people!

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Everest Yang
Research

Robotics

Replay Retention Under Dynamics Shift Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning
E. Yang, S. Thompson, G.D. Konidaris.
Under review.
Changepoint-Aware World Models Changepoint-Aware World Models: Detecting Dynamics Shifts and Recovering by Forgetting Stale Replay in Model-Based RL
E. Yang.
RSS Workshop on Robot World Models (R-WM), 2026.
Topology-Agnostic Mesh Reconstruction Topology-Agnostic Mesh Reconstruction of Deformable Objects from Sparse Touch
E. Yang.
RSS Workshop on Deformable and Articulated Robotic Object Manipulation (DAROMA), 2026.
Deformable State Estimation Deformable State Estimation for Autonomous Surgical Tissue Retraction Under Partial Observability
E. Yang, S. Thompson, G.D. Konidaris.
ICRA Workshop on Intelligent Robotic Assistants for Surgery (RASEI), 2026.
SkillWrapper SkillWrapper: Autonomously Learning Interpretable Skill Abstractions with Foundation Models
Z. Yang, B. Hedegaard, A. Jaafar, S. Thompson, Y. Wei, E. Yang, H. Fu, S.S. Raman, S. Tellex, G. Konidaris, D. Paulius, N. Shah.
RSS Workshop on Learned Robot Representations (RoboReps), 2025.

Other Topics

Causal ML for gliomas Estimating Temporal Treatment-Effect Patterns of Radiotherapy and Chemotherapy in Lower-Grade Gliomas Using Causal ML
E. Yang, S. Agrawal, C.J. Kinslow, S.K. Cheng, L. Yang, E. Wang, T.J. Wang, L.A. Kachnic, D.J. Brenner, I. Shuryak.
Nature Scientific Reports, 2026.
CAST CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma
E. Yang, R. Vasishtha, L.K. Dad, L.A. Kachnic, A. Hope, E. Wang, X. Wu, Y. Yuan, D.J. Brenner, I. Shuryak.
ACM-BCB, 2026. Also at 3 NeurIPS Workshops (AI4Science, CauScien, TS4H), 2025.
ISS Wi-Fi survey by Astrobee Wi-Fi Signal Survey of the International Space Station by Autonomous Free-Flying Robot
E. Yang, S.U. Hwu, C. Lansdowne, J.P. Boster, K. deSilva.
IEEE WiSEE / Featured on NASA Homepage, 2024.

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Last updated 9/30/26