Scholar
Zijun (Frank) Zhang
Google Scholar ID: YDl3mfgAAAAJ
Natera
Citations & Impact
Citations
886
H-index
14
i10-index
15
Publications
20
Co-authors
0
Resume
Academic Achievements
- - Published a paper on understanding CRISPR/Cas9 off-target enzymatic reactions in Nature Computational Science.
- - Proposed an automated framework for efficiently designing deep convolutional neural networks in genomics in Nature Machine Intelligence.
- - Published a study on deep-learning augmented RNA-seq analysis of transcript splicing in Nature Methods.
Research Experience
- Leads the lab at the Division of Artificial Intelligence in Medicine, Cedars-Sinai, focusing on using statistical learning and deep learning to communicate across research areas in computational biology.
Background
- Research interests include AutoDL-powered interpretation of genetic variations and post-transcriptional and transcriptional regulatory networks.
Miscellany
- Received the 2023 Winnick Award; three papers accepted at NeurIPS23 workshops; EM-GNN paper accepted at Bioinformatics.