Wednesday, May 7
Combi Seminar: Dr. Vicky Yao | Rice University
"Exploring embeddings for multi‑condition and cross‑species insights"
1:30 | Foege Auditorium | flier | talk will be recorded | remote viewing option

Recent Research Highlights

 

Feder Lab
Phylodynamic models disentangle growth patterns in solid tumors

Wang Lab
Generative AI modeling for extrapolating heterogeneous time-series gene expression data

Ha Lab
Computational modeling of circulating tumor DNA for blood-based classification of prostate cancer clinical phenotypes

Mostafavi Lab
Cross-modality representation learning from multi-omic single cell assays

Shojaie Lab
Discovering causal cellular mechanisms using single cell RNAseq data

Lee Lab
Explainable AI approach to cancer precision medicine design

Noble Lab
Deep learning framework for identifying the peptide responsible for generating each observed mass spectrum

Baker Lab

RFdiffusion: A generative model for protein design