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Jiayan Zhou
PeerJ Editor
1,000 Points

Contributions by role

Editor 1,000

Contributions by subject area

Natural Language and Speech
Text Mining
Neural Networks
Bioinformatics
Data Mining and Machine Learning
Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Vision
Computational Science
Data Science
Healthcare Services
Social Computing
Computational Biology
Optimization Theory and Computation
Emerging Technologies

Jiayan Zhou

PeerJ Editor

Summary

Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.

Bioinformatics Computational Biology Data Mining & Machine Learning Epidemiology Genetics Graphics Natural Language & Speech Text Mining

Editorial Board Member

PeerJ Computer Science

Work details

Postdoctoral Scholar

Stanford University School of Medicine
Department of Medicine

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 7

Academic Editor on

August 14, 2025
Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets
Zahraa Ahmed, Mesut Çevik
https://doi.org/10.7717/peerj-cs.3064
August 7, 2025
Acute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging
Amjad Rehman, Muhammad Mujahid, Tanzila Saba, Faten S. Alamri, Noor Ayesha
https://doi.org/10.7717/peerj-cs.2997
April 22, 2025
Predicting no-shows at outpatient appointments in internal medicine using machine learning models
Felipe Ocampo Osorio, Santiago Pedroza Gomez, David Esteban Rebellón Sanchez, Richard Ramirez Fernandez, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortíz, Gustavo Adolfo Cruz Suarez
https://doi.org/10.7717/peerj-cs.2762
October 30, 2024
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
Jing Ru Teoh, Jian Dong, Xiaowei Zuo, Khin Wee Lai, Khairunnisa Hasikin, Xiang Wu
https://doi.org/10.7717/peerj-cs.2298
October 18, 2024
Sequential lexicon enhanced bidirectional encoder representations from transformers: Chinese named entity recognition using sequential lexicon enhanced BERT
Xin Liu, Jiashan Zhao, Junping Yao, Hao Zheng, Zhong Wang
https://doi.org/10.7717/peerj-cs.2344
October 16, 2024
Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries
Priyanka Karmani, Aftab Ahmed Chandio, Imtiaz Ali Korejo, Oluwarotimi Williams Samuel, Majed Aborokbah
https://doi.org/10.7717/peerj-cs.2397
October 10, 2024
Prediction of antigenic peptides of SARS- CoV-2 pathogen using machine learning
Syed Nisar Hussain Bukhari, Kingsley A. Ogudo
https://doi.org/10.7717/peerj-cs.2319