X-Cell, every mention

🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu) Jul 21, 2026 · 22 mentions

• ▶ 0:00 Ci Chu And what really blew my mind away is when I saw the model make prediction, just print out the heat map of the changes, look at the actual raw data, and line up the linear baseline prediction, the ground truth, and Excel prediction all… 2 times in the scene
• ▶ 7:54 Bo Wang One of the rewarding signals I receive after we develop Excel is that like it's a wow moment from biologists that this is the first time biologists actually find the model can predict exactly how these unseen cell lines, uh, kind of…
• ▶ 11:05 RJ Haneke You, you just released, uh, X-Cell. 2 times in the scene
• ▶ 39:44 RJ Haneke Getting back to Excel, this, you know, presumably can inform a spatial model as well, right? 2 times in the scene
• ▶ 43:50 Bo Wang So that's why we switched it from a CGBT-like model to the current X-cell model, which using diffusion language models.
• ▶ 47:05 Bo Wang Another major innovation we made in Excel is the way we incorporate prior knowledge into the model. 5 times in the scene
• ▶ 57:32 Ci Chu And last, but we applied Excel. 4 times in the scene
• ▶ 1:03:52 Bo Wang And what sets Excel different from these static expression models such as SGB or geneformers is that we actually, instead of training on gene expression datasets, we train on causal datasets. 3 times in the scene
• ▶ 1:09:11 Ci Chu So that's what we do today to build a scaffold of the data for training models like Excel.
• ▶ 1:29:13 Bo Wang We hope to have more and more people join us, and our Excel paper is out, and we look forward to receiving your comments and the feedbacks, and also we're hiring.