| Mar 16, 2026 | Our data resource paper, “An atlas of genetic effects on the monocyte methylome across European and African populations” (Co-corresponding author: Hui Shen and Hong-Wen Deng), has been accepted in Genome Medicine. Congrats to Wanheng and Chuan (Tulane University)! |
| Mar 06, 2026 | Our Bayesian method ZI-HGT for spatial transcriptomics, “A Zero-Inflated Hierarchical Generalized Transformation Model to Address Non-Normality in Spatially-Informed Cell-Type Deconvolution” (Co-corresponding author: Jonathan Bradley ), has been accepted in Biometrics. Big congrats to Hunter! |
| Jan 26, 2026 | Our Meta-Router, “Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing” (Co-corresponding author: Yichi Zhang), has been accepted in ICLR 2026. |
| Dec 09, 2025 | Thinking Machines Lab provides a small grant for comptuational resources in Tinker for supporting our fine-tuning efforts. Thank you, Thinking Machines Lab! |
| Oct 30, 2025 | Our Mendelian randomization method, CARE, “Winner’s Curse Free Robust Mendelian Randomization with Summary Data” (Co-corresponding author: Jingshen Wang), has been accepted in Journal of the American Statistical Association. Big congratulations, Zhongming (UC Berekely) and Wanheng! See the software at https://chongwulab.github.io/MRcare/. |
| Oct 20, 2025 | Our DNA foundation benchmarking paper, “Benchmarking DNA Foundation Models for Genomic and Genetic Tasks” (Co-corresponding author: Peng Wei), has been accepted in Nature Communications. Congratulations on your hard work, Haonan! |
| Aug 01, 2025 | Our pilot grant titled “Novel Large Language Models for Discovering Effective Drug Targets in Prostate Cancer” has been awarded by U Foundation. Thank you for supporting our work in using LLMs to accelerate drug discovery! |
| Nov 01, 2024 | Our trans-PWAS work has been selected by ASHG for a platform talk. Congratulations, Zichen! |
| Sep 15, 2024 | Our U01 grant, “Uncovering Causal Protein Markers to Characterize Pancreatic Cancer Etiology and Improve Risk Prediction” (MPI: Lang Wu and Chong Wu), has been awarded by the NCI! |
| Jul 01, 2022 | Our R01 grant, “Uncovering causal protein markers to improve prostate cancer etiology understanding and risk prediction in Africans and Europeans” (MPI: Lang Wu and Chong Wu), has been awarded by the NCI! |