Richard W. Shuai

Deep learning for fast spatially varying deconvolution

Kyrollos Yanny, Kristina Monakhova, Richard W. Shuai et al. · Optica · 2021 · 117 citations · Full text

Shift Invariance, Convolutional Neural Network, Image Analysis +11

IgLM: Infilling language modeling for antibody sequence design

Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray · Cell Systems · 2023 · 107 citations · Full text

Natural Language Processing, Engineering, Antibody Sequence Design +9

Personal transcriptome variation is poorly explained by current genomic deep learning models

Connie Huang, Richard W. Shuai, Parth Baokar et al. · Nature Genetics · 2023 · 92 citations · Full text

Unlocking <i>de novo</i> antibody design with generative artificial intelligence

Amir Shanehsazzadeh, Matt McPartlon, George W. Kasun et al. · 2023 · 77 citations · Full text

An all-atom protein generative model

Alexander E. Chu, Jinho Kim, Lucy Cheng et al. · Proceedings of the National Academy of Sciences · 2024 · 58 citations · Full text