Draft:Ilya Shpitser
Submission declined on 24 October 2025 by Pythoncoder (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. Jacobmchen (talk) 18:05, 24 October 2025 (UTC)
Ilya Shpitser | |
|---|---|
| Born | 1976 (age 48–49) |
| Nationality | American |
| Education | University of California, Berkeley (BA) University of California, Los Angeles (MS, PhD) |
| Known for | Causality |
| Scientific career | |
| Fields | Computer science, Biostatistics |
| Thesis | Complete Identification Methods for Causal Inference (2008) |
| Doctoral advisor | Judea Pearl |
| Doctoral students | Rohit Bhattacharya, Razieh Nabi, Noam Finkelstein, Eli Sherman, Ranjani Srinivasan, Jaron Lee, Numair Sani |
| Website | www |
Ilya Shpitser is a John C. Malone Associate Professor of Computer Science at Johns Hopkins University well known for formulating a sound and complete causal effect identification algorithm for acyclic directed mixed graphs (ADMGs) [1]. He created the one-line ID algorithm and developed the nested Markov model of ADMGs with collaborators [2]. He was advised by Judea Pearl at the University of California, Los Angeles.
Early Life
[edit]Ilya Shpitser was born in Ukraine but immigrated to California, USA at an early age.
References
[edit]- ^ https://cdn.aaai.org/AAAI/2006/AAAI06-191.pdf
- ^ Shpitser, Ilya; Evans, Robin J.; Richardson, Thomas S.; Robins, James M. (2014). "Introduction to Nested Markov Models". Behaviormetrika. 41: 3–39. doi:10.2333/bhmk.41.3.

- meet any of the eight academic-specific criteria
- or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth
Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia.