LLM-Informed Gene Embeddings
Enhancing generative perturbation models with LLM-informed gene embeddings
Research Projects
Multimodal Generative Models
Multimodal generative models of in vitro cellular perturbations
Universal Cell Image Embeddings
Self-supervised representation learning of cellular morphology across cell types and image modalities
Molecular Embeddings
Universal language model for proteins, DNA, RNA, and small molecules
BPE Tokenizer for SELFIES
Efficient Rust-based tokenizer optimized for molecular representation
Protein Expression Rescue
Rescuing non-expressing proteins using inverse folding and LLM-based expression prediction
Pharmacokinetic Property Prediction
Predicting half-life and clearance rate for peptide therapeutics
High Throughput Image Analysis Library
Python library for efficient microscopy data processing and analysis
