Mike A Merrill

Postdoc, Computer Science, Stanford University

Joined

June 2022

Names

Mike A Merrill (Preferred)

Mike A. Merrill

Emails

****@cs.washington.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Postdoc

Computer Science, Stanford University (stanford.edu)

2025 – Present

PhD student

Department of Computer Science, University of Washington (cs.washington.edu)

2019 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Tim Althoff

Present

Postdoc Advisor

Ludwig Schmidt

Present

Expertise

Benchmarks and Datasets

2022 – Present

Neural Time Series Classification

2020 – 2024

Mobile Sensing

2015 – 2024

Ubiquitous Computing

2015 – 2019

Publications

SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
Ken Gu, Advait Bhat, Mike A Merrill, Robert West, Xin Liu, Daniel McDuff, Tim Althoff
- ICLR 2026 Poster
- Readers: Everyone
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, E. Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Di Lu, Orfeas Menis Mastromichalakis, Zhiwei Xu, Zizhao Chen et al. (64 additional authors not shown)
- ICLR 2026 Poster
- Readers: Everyone
OpenThoughts: Data Recipes for Reasoning Models
Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Rea Sprague, Ashima Suvarna, Benjamin Feuer, Leon Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao et al. (31 additional authors not shown)
- ICLR 2026 Oral
- Readers: Everyone
OpenThoughts: Data Recipes for Reasoning Models
Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Rea Sprague, Ashima Suvarna, Benjamin Feuer, Leon Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao et al. (30 additional authors not shown)
- FoRLM 2025
- Readers: Everyone
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
- NeurIPS 2024 spotlight
- Readers: Everyone
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
- CoRR 2024
- Readers: Everyone
Transforming Wearable Data into Health Insights using Large Language Model Agents
Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu
- CoRR 2024
- Readers: Everyone
Language Models Still Struggle to Zero-shot Reason about Time Series
Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff
- CoRR 2024
- Readers: Everyone
Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Mike A. Merrill, Tim Althoff
- CHIL 2023
- Readers: Everyone
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections
Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff
- CHIL 2023
- Readers: Everyone

View all 18 publications

Co-Authors

View all 173 co-authors