David W. Borhani

Predicting VHH-Fc Developability from Large-Scale IgG Data

The paper introduces a dataset of VHH-Fc antibodies and shows that IgG-trained models outperform VHH-Fc-specific models in predicting developability properties.

Decoding Bispecific Antibody Developability: Design Rules and Predictive Models from a 160-Member Library

This paper analyzes 160 bispecific antibodies and their parental arms to identify developability inheritance patterns and predictive models for bispecific antibody design.

Using a GPT-5-driven autonomous lab to optimize the cost and titer of cell-free protein synthesis

This paper demonstrates an LLM-driven autonomous lab that reduces the cost of cell-free protein synthesis by 40% and increases titer by 27% through iterative optimization.

A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training

The paper introduces a high-throughput platform to generate large datasets for training machine learning models to predict antibody developability properties.