Eric is a postdoctoral scholar at Stanford University with a rich background in Computer Science, Biomedical Engineering, and Biostatistics. His research focuses on developing reliable data science methods, particularly for network data, by integrating causal inference with high-dimensional statistics. Eric is deeply interested in understanding and addressing biases that hinder neuroscientific analyses, aiming to help overcome challenges that have thus far prevented the adoption of neuroimaging methods to clinical practice.

Education History

  • B.S., Biomedical Engineering and Computer Science, Johns Hopkins University
  • Ph.D., Biostatistics, Johns Hopkins University

Work Experience

Post Doctoral Scholar, Stanford University

Publications

1. Benjamin D. Pedigo, Mike Powell, Eric W. Bridgeford, Michael Winding, Carey E. Priebe, Joshua T. Vogelstein. Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome. Published in eLife (2023).
2. Ting Xu, Gregory Kiar, Jae Wook Cho, Eric W. Bridgeford, Aki Nikolaidis, Joshua T. Vogelstein, Michael P. Milham. ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences. Published in Nature Methods (2023).
3. Jaewon Chung, Eric W. Bridgeford, Jess Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, Joshua T. Vogelstein. Statistical Connectomics. Published in Annual Review of Statistics and its Application (2021).
4. Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang, Ting Xu, Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Consortium for Reliability and Reproducibility, and Joshua T. Vogelstein. Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics. PLOS Computational Biology (2021).
5. Roger Peng, Athena Chen, Eric W. Bridgeford, Jeff Leek, and Stephanie Hicks. Diagnosing Data Analytic Problems in the Classroom. In production in the Journal of Statistics and Data Science Education (2021).
6. Jaewon Chung, Eric W. Bridgeford, Jesus Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, and Joshua T. Vogelstein. Statistical Connectomics. Published in the Annual Review of Statistics and Its Application (Volume 8, 2021).
7. Ross M. Lawrence, Eric W. Bridgeford, Patrick E. Myers, Ganesh C. Arvapalli, Sandhya C. Ramachandran, Derek A. Pisner, Paige F. Frank, Allison D. Lemmer, Aki Nikolaidis, and Joshua T. Vogelstein. Standardizing human brain parcellations. Published in Nature, Scientific Data (March 2021).
8. Joshua T. Vogelstein†, Eric W. Bridgeford†, Minh Tang, Da Zheng, Christopher Douville, Randal Burns, and Mauro Maggioni. Supervised dimensionality reduction for big data. Published in Nature Communications (May, 2021).
9. Jordan Yoder, Li Chen, Henry Pao, Eric W. Bridgeford, Keith Levin, Donniell Fishkind, Carey E Priebe, Vince Lyzinski. Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Published in Journal of Computational Statistics and Data Analysis (May, 2020).
10. Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan Varjavand, Hayden Helm, and Joshua T. Vogelstein. GraSPy: Graph Statistics in Python. Published in Journal of Machine Learning Research (September 2019).
11. Joshua T. Vogelstein, Eric W. Bridgeford, Benjamin D. Pedigo, Jaewon Chung, Keith Levin, Brett Mensch, and Carey E. Priebe. Connectal Coding: Discovering the Structures Linking Cognitive Phenotypes to Individual Histories. Current Opinions in Neurobiology (April 2019).
12. Cencheng Shen, Eric W. Bridgeford, Qing Wang, Carey E. Priebe, Mauro Maggioni, and Joshua T. Vogelstein. Discovering Relationships and their Structures Across Disparate Data Modalities. Published in Elife (February 2019).
13. Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, and Eric W. Bridgeford. On a ’Two Truths’ Phenomenon in Spectral Graph Clustering. In press at Proceedings of the National Academy of Sciences (PNAS).
14. Joshua T. Vogelstein, Eric Perlman, Benjamin Falk, Alex Baden, William Gray Roncal, Vikram Chandrashekhar, Forrest Collman, Sharmishtaa Seshamani, Jesse L. Patsolic, Kunal Lillaney, Michael Kazhdan, Robert Hider, Derek Pryor, Jordan Matelsky, Timothy Gion, Priya Manavalan, Brock Wester, Mark Chevillet, Eric T. Trautman, Khaled Khairy, Eric W. Bridgeford, Dean M. Kleissas, Daniel J. Tward, Ailey K. Crow, Brian Hsueh, Matthew A. Wright, Michael I. Miller, Stephen J. Smith, R. Jacob Vogelstein, Karl Deisseroth, and Randal Burns. A community-developed open-source computational ecosystem for big neuro data. Published in Nature Methods (Nov. 2018)
15. Sarah F. Muldoon, Eric W. Bridgeford, and Danielle S. Bassett. Small-World Propensity in Weighted, Real-World Networks. Published in Nature, Scientific Reports (February 2016).

† These authors contributed equally to the work.