| Apr 27, 2026 |  The Learning Meaningful Representations of Life (LMRL) Workshop at ICLR 2026 in Rio de Janeiro was a fantastic day! Thank you to all speakers, panelists, authors, and attendees for the discussions on world models, foundation models, and synergistic multimodal representations of biology. Link |
| Mar 02, 2026 |  New preprint from my Microsoft Research internship: Beyond alignment: synergistic integration is required for multimodal cell foundation models. We introduce the Synergistic Information Score (SIS) and show that alignment-based fusion collapses to linear redundancy, motivating synergy-aware integration objectives. Link |
| Feb 27, 2026 | Our review Generative models of cell dynamics: from Neural ODEs to flow matching is published in Communications Biology! A unified perspective on continuous-time generative models for single-cell trajectories. Link |
| Feb 18, 2026 | Our perspective From modality-specific to compositional foundation models for cell biology is out in Cell Systems! We argue for compositional foundation models (CFMs) that fuse pre-trained unimodal experts as a scalable path toward virtual cell models. Link |
| Dec 15, 2025 | Excited that the Learning Meaningful Representations of Life (LMRL) Workshop I co-organize has been accepted at ICLR 2026 in Rio de Janeiro, Brazil! Looking forward to another edition of the workshop on representation learning for biology. Link |
| Nov 28, 2025 | New preprint: Language may be all omics needs: Harmonizing multimodal data for omics understanding with CellHermes, our self-supervised LLM-based framework that unifies multimodal omics through natural language. Congrats to Yicheng for leading this work. Link |
| Aug 01, 2025 |  My research internship at Microsoft Research in Cambridge, MA, with Lorin Crawford and the AI for Biomedicine team has come to an end. A huge thank you to the team for an amazing summer working on synergistic multimodal foundation models for cell biology! |
| May 12, 2025 | Today marks the beginning of my research internship at Microsoft Research in Cambridge, MA! I’m excited to work with Lorin Crawford and the team on cutting-edge research projects. |
| Apr 28, 2025 | Our paper Interpretable Self-Supervised Prototype Learning for Single-Cell Transcriptomics was presented at the LMRL Workshop at ICLR 2025! The work introduces scProto, a novel method that learns interpretable prototypes for denoising single-cell data while preserving biological structure and removing batch effects. Link |
| Apr 28, 2025 | The Learning Meaningful Representations of Life (LMRL) Workshop I co-organized at ICLR 2025 in Singapore was a great success! The workshop brought together researchers working on foundation models for biological data, multimodal representation learning, and multiscale biological representations, featuring exciting keynotes from leaders in the field and stimulating discussions about the future of AI in biology. |
| Jan 22, 2025 | CFGen: Generating Multi-Modal and Multi-Attribute Single-Cell Counts has been accepted at ICLR 2025! Link |
| Dec 27, 2024 | Our paper Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics is now published in Nature Machine Intelligence! Link |
| Dec 25, 2024 | Excited to share that I will be joining Microsoft Research in Cambridge, MA, working with Lorin Crawford as a research intern from May to August 2025! |
| Dec 10, 2024 | Our collaborative paper Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma has been published in Nature Biomedical Engineering! Link |
| Dec 03, 2024 | The Learning Meaningful Representations of Life (LMRL) Workshop I co-organize got accepted at ICLR 2025! Link |