WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Andrew Caldwell
PeerJ Reviewer
105 Points

Contributions by role

Reviewer 105

Contributions by subject area

Bioinformatics
Computational Biology
Genomics
Data Science
Diabetes and Endocrinology
Internal Medicine
Nephrology
Data Mining and Machine Learning
Cell Biology

Andrew B Caldwell

PeerJ Reviewer

Summary

I'm a Research Scientist at UC San Diego integrating experimental biology with computational approaches to understand complex diseases. I work across the full spectrum of biomedical research—designing experiments, conducting wet lab work, and performing advanced computational analyses. This end-to-end perspective allows me to bridge traditional laboratory techniques with modern data science to extract meaningful biological insights.

I'm driven by the challenge of decoding the complexities of neurodevelopment and neurodegeneration, applying systems-level thinking with deep knowledge of human biology to advance our understanding of these critical health challenges and potentially inform future therapeutic strategies.

Biochemistry Bioinformatics Computational Biology Neuroscience

Past or current institution affiliations

UC San Diego

Work details

Research Scientist

University of California, San Diego
October 2014
Bioengineering

Identities

@andrewbcaldwell

Websites

  • Personal Website
  • Google Scholar
  • Google Scholar

PeerJ Contributions

  • Reviewed 3

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

February 29, 2024
Co-differential genes between DKD and aging: implications for a diagnostic model of DKD
Hongxuan Du, Kaiying He, Jing Zhao, Qicai You, Xiaochun Zhou, Jianqin Wang
https://doi.org/10.7717/peerj.17046 PubMed 38435999
February 8, 2024
Data-driven detection of age-related arbitrary monotonic changes in single-cell gene expression distributions
Jian Hao Cheng, Daigo Okada
https://doi.org/10.7717/peerj.16851 PubMed 38344300
November 30, 2021
FEM: mining biological meaning from cell level in single-cell RNA sequencing data
Yunqing Liu, Na Lu, Changwei Bi, Tingyu Han, Guo Zhuojun, Yunchi Zhu, Yixin Li, Chunpeng He, Zuhong Lu
https://doi.org/10.7717/peerj.12570 PubMed 34909283