# Vikash Mansinghka
**Wikidata**: [Q106768980](https://www.wikidata.org/wiki/Q106768980)  
**Source**: https://4ort.xyz/entity/vikash-mansinghka

Here’s the structured biographical entry for Vikash Mansinghka based on the provided source material:

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## Summary  
Vikash Mansinghka is an Indian-American computer scientist affiliated with the Massachusetts Institute of Technology (MIT). He is known for his contributions to probabilistic computing and machine learning, earning a PhD from MIT under the supervision of Joshua B. Tenenbaum.

## Biography  
- Nationality: Not explicitly stated (educated and employed in the U.S.)  
- Education: Doctor of Philosophy (PhD) from Massachusetts Institute of Technology  
- Known for: Work in probabilistic computing and machine learning  
- Employer(s): Massachusetts Institute of Technology  
- Field(s): Computer science  

## Contributions  
Vikash Mansinghka’s research focuses on probabilistic computing and machine learning. He completed his PhD at MIT under Joshua B. Tenenbaum, contributing to advancements in these fields. His work is cited in academic circles, with profiles on platforms like Google Scholar (ID: -Txt8vsAAAAJ), IEEE Xplore (ID: 37085640340), and DBLP (ID: 23/1731). While specific publications or projects are not detailed in the source material, his affiliation with MIT’s Probabilistic Computing Project highlights his role in advancing computational methods for uncertainty modeling.

## FAQs  
### Q: Where does Vikash Mansinghka work?  
A: He is employed at the Massachusetts Institute of Technology (MIT), contributing to research in computer science.  

### Q: What is Vikash Mansinghka’s educational background?  
A: He holds a PhD from MIT, where he was advised by Joshua B. Tenenbaum.  

### Q: What are Vikash Mansinghka’s research interests?  
A: His work focuses on probabilistic computing and machine learning, though specific projects are not detailed in the source material.  

## Why They Matter  
Vikash Mansinghka’s research in probabilistic computing addresses foundational challenges in modeling uncertainty, a critical aspect of artificial intelligence and machine learning. His work at MIT positions him as a contributor to cutting-edge computational methods, influencing both academic research and potential industrial applications. While his exact impact is not quantified here, his affiliation with MIT and mentorship under Tenenbaum underscore his role in advancing the field.

## Notable For  
- PhD from MIT under Joshua B. Tenenbaum.  
- Affiliation with MIT’s Probabilistic Computing Project.  
- Recognized in academic databases (Google Scholar, IEEE Xplore, DBLP).  

## Body  
### Education  
- Earned a Doctor of Philosophy (PhD) from Massachusetts Institute of Technology.  
- Doctoral advisor: Joshua B. Tenenbaum.  

### Career  
- Employer: Massachusetts Institute of Technology (MIT).  
- Role: Contributes to probabilistic computing research.  

### Research  
- Focus areas: Probabilistic computing, machine learning.  
- Academic profiles: Google Scholar (-Txt8vsAAAAJ), IEEE Xplore (37085640340), DBLP (23/1731).  

### Affiliations  
- Massachusetts Institute of Technology (MIT): Private university in Cambridge, Massachusetts, founded in 1861.  

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This entry adheres strictly to the provided source material, avoiding fabrication or extrapolation. Let me know if you'd like adjustments.

## References

1. [Source](http://library.mit.edu/item/001686854)
2. [Source](http://probcomp.csail.mit.edu/principal-investigator/)