Rick L. Stevens

Full Professor, University of Chicago

Joined

May 2021

Names

Rick L. Stevens (Preferred)

Emails

****@anl.gov (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Full Professor

University of Chicago (uchicago.edu)

1999 – Present

Undergrad student

Western Michigan University (wmich.edu)

1980 – 1984

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Xuefeng Liu, Mingxuan Cao, Songhao Jiang, Xiao Luo, Xiaotian Duan, Mengdi Wang, Tobin R. Sosnick, Jinbo Xu, Rick L. Stevens
- AI4D3 2025 Poster
- Readers: Everyone
Scaffold-Driven GPT Model for Drug Optimization
Xuefeng Liu, Songhao Jiang, Ian Foster, Jinbo Xu, Rick L. Stevens
- GenBio 2025 Poster
- Readers: Everyone
A Ground-Up Designed Controllable GPT for Molecule Optimization
Xuefeng Liu, Songhao Jiang, Bo Li, Rick L. Stevens
- GenBio 2025 Poster
- Readers: Everyone
Cross-HPO: Optimizing Neural Networks for Cancer Drug Response Using Hyperparameter Tuning on Multiple Pharmacogenomic Datasets
Rajeev Jain, Justin M Wozniak, Alexander Partin, Andreas Wilke, Yitan Zhu, Priyanka Vasanthakumari, Oleksandyr Narykov, Jamie Overbeek, Rylie Weaver, Chen Wang, Yuanhang Liu, M. Ryan Weil, Thomas Brettin, Rick L. Stevens
- OpenReview Archive Direct Upload
- Readers: Everyone
AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine
Carlo Siebenschuh, Kyle Hippe, Ozan Gokdemir, Alexander Brace, Arham Mushtaq Khan, Khalid Hossain, Yadu Babuji, Nicholas Chia, Venkatram Vishwanath, Arvind Ramanathan, Rick L. Stevens, Ian Foster, Robert Underwood
- MLSys 2025
- Readers: Everyone
Contextual Active Model Selection
Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
- NeurIPS 2024 poster
- Readers: Everyone
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
- ICML 2024 Poster
- Readers: Everyone
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Rick L. Stevens, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Prasanna Balaprakash, Yuxiong He
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
Impact of Molecular Representations on Deep Learning Model Comparisons in Drug Response Predictions
Gihan Uthpala Panapitiya, Carter Knutson, Andrew D. McNaughton, Rajeev Jain, Justin Wozniak, Thomas Brettin, Rick L. Stevens, Neeraj Kumar
- Submitted to ICLR 2024
- Readers: Everyone
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Erica Teixeira Prates, Veronica G Melesse Vergara, Manesh B Shah, Austin Clyde, Thomas Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S Head, Rick L. Stevens, Peter Nugent, Daniel A Jacobson, James B Brown
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone

Co-Authors

View all 70 co-authors