Hi! I am a second year Computer Science PhD student at University of Wisconsin–Madison working with Fred Sala. As an undergraduate at Brown University, I was fortunate to work with Stephen Bach.

This summer I'm currently doing a research internship at KRAFTON AI.

My research interests include elastic architectures, Transformers, and data-centric ML. Feel free to reach out for a chat!

Education

2024—Present

University of Wisconsin—Madison

Ph.D. in Computer Science

Advised by: Prof. Fred Sala

2020—2024

Brown University

Sc.B. in Mathematics-Computer Science

Advised by: Prof. Stephen Bach

Publications

Test-Time Scaling Makes Overtraining Compute-Optimal

Test-Time Scaling Makes Overtraining Compute-Optimal

Nicholas Roberts, Sungjun Cho, Zhiqi Gao, Tzu-Heng Huang, Albert Wu, Gabriel Orlanski, Avi Trost, Kelly Buchanan, Aws Albarghouthi, Frederic Sala

Modern scaling laws.

Weight Updates as Activation Shifts: A Principled Framework for Steering

ICML 2026

Weight Updates as Activation Shifts: A Principled Framework for Steering

Dyah Adila, John Cooper, Alexander Yun, Avi Trost, Frederic Sala

Expressivity of steering.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

Albert Ge, Tzu-Heng Huang, John Cooper, Avi Trost, Ziyi Chu, Satya Sai Srinath Namburi GNVV, Ziyang Cai, Kendall Park, Nicholas Roberts, Frederic Sala

Reclustering data and reusing training gradients for data mixing.

Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

ACL Findings 2024

Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Nihal V. Nayak, Yiyang Nan, Avi Trost, Stephen H. Bach

Training a model to generate conditional synthetic data for task adaptation.