Shuangge Ma
biostatistician
Facts
9 properties- Instance of
- human
- Occupation
- biostatistician
- Employer
- Yale School of Public Health[2]
- Educated at
- University of Wisconsin–Madison[3]
- Award received
- Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics[5][6]
- Doctoral advisor
- Michael R. Kosorok[4]
- Imported from
- wholeness_audit_2026-05-02
- Member of
- American Statistical Association (2013–present), Institute of Mathematical Statistics (2023–present)[7][8]
🏷️ Also known as
en Shuangge Ma
en Steven Ma
🔖 Identifiers · 7
- ORCID iD
- 0000-0001-9001-4999
- OpenAlex ID
- A5070916971, A5108093990, A5134840575, A5137061608, A5143451115as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Google Knowledge Graph ID
- /g/11ldrv494b
- Google Scholar author ID
- DlWkhUkAAAAJ
- MR Author ID
- 758007
- Mathematics Genealogy Project ID
- 84530
- ZbMATH author ID
- ma.shuangge
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 30
Assisted clustering of gene expression data using ANCut,
Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application,
Clustering multilayer omics data using MuNCut,
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes,
Gaussian graphical model‐based heterogeneity analysis via penalized fusion,
Gene–environment interaction analysis via deep learning,
Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules,
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics
+22 more
← Authored by 30
Assisted clustering of gene expression data using ANCut,
Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application,
Clustering multilayer omics data using MuNCut,
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes,
Gaussian graphical model‐based heterogeneity analysis via penalized fusion,
Gene–environment interaction analysis via deep learning,
Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules,
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics
+22 more
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Summary
Shuangge Ma worked as a biostatistician[1].
Body
Recognition
Awards received include Fellow of the American Statistical Association[5], a statistics award[10] and Fellow of the Institute of Mathematical Statistics[6].
FAQs
What did Shuangge Ma do for work?
Shuangge Ma worked as biostatistician[1].
Where did Shuangge Ma go to school?
Shuangge Ma was educated at University of Wisconsin–Madison[3].
What awards did Shuangge Ma receive?
Honors received include Fellow of the American Statistical Association[5] and Fellow of the Institute of Mathematical Statistics[6].