# Yanping Huang

> PhD, University of Washington, Computer Science & Engineering, 2015

**Wikidata**: [Q113667728](https://www.wikidata.org/wiki/Q113667728)  
**Source**: https://4ort.xyz/entity/yanping-huang

## Summary
Yanping Huang is a computer scientist who earned a Doctor of Philosophy (PhD) in Computer Science & Engineering from the University of Washington in 2015. Specializing in computational neuroscience, Huang is known for their doctoral research on Bayesian computation and optimal decision-making in primate brains, conducted under the supervision of prominent researcher Rajesh P.N. Rao.

## Biography
*   **Education:** PhD in Computer Science & Engineering, University of Washington (2015)
*   **Known for:** Research on Bayesian computation and decision-making in primate brains
*   **Field(s):** Computer Science, Computational Neuroscience
*   **Doctoral Advisor:** Rajesh P.N. Rao

## Contributions
Yanping Huang’s primary documented contribution to the field of computer science is their doctoral thesis. In 2015, they completed their PhD at the University of Washington with a dissertation titled **"Bayesian Computation and Optimal Decision Making in Primate Brains."**

This work was performed within the Department of Computer Science & Engineering. The research bridged the gap between computer science and neuroscience, exploring how mathematical models, specifically Bayesian probability, could explain the mechanisms of decision-making processes within biological systems. Huang’s work contributes to the academic understanding of computational intelligence and neural processing.

## FAQs
### Q: What is Yanping Huang's educational background?
A: Yanping Huang holds a Doctor of Philosophy (PhD) in Computer Science & Engineering from the University of Washington, which they completed in 2015.

### Q: What was the topic of Yanping Huang's thesis?
A: Their doctoral thesis was titled "Bayesian Computation and Optimal Decision Making in Primate Brains."

### Q: Who was Yanping Huang's doctoral advisor?
A: Yanping Huang studied under Rajesh P.N. Rao, an Indian computer scientist and computational neuroscientist.

## Why They Matter
Yanping Huang matters within the academic context of computational neuroscience and computer engineering. Their work represents a specific application of computer science principles—specifically Bayesian inference—to solve complex questions regarding biological intelligence. By investigating optimal decision-making in primate brains, Huang's research contributes to the foundational knowledge required to advance artificial intelligence and brain-computer interfaces. Their academic lineage connects them to significant research in neural computation, further validating the intersection of these disciplines as a critical area of study.

## Notable For
*   **Doctoral Research:** Authoring the thesis "Bayesian Computation and Optimal Decision Making in Primate Brains."
*   **Academic Affiliation:** Completing advanced studies at the University of Washington's Computer Science & Engineering department.
*   **Interdisciplinary Focus:** Working at the intersection of computer science and primate neurobiology.
*   **Collaboration:** Conducting research under the mentorship of Rajesh P.N. Rao.

## Body
### Education and Academic Career
Yanping Huang pursued higher education in the United States, specifically enrolling in the Computer Science & Engineering program at the University of Washington. In 2015, Huang successfully defended their dissertation to earn a Doctor of Philosophy (PhD). The degree was awarded with a focus on computer science and computer engineering.

### Research and Thesis
Huang's academic output is centered on their doctoral thesis, **"Bayesian Computation and Optimal Decision Making in Primate Brains."** This research suggests a focus on:
*   **Bayesian Models:** Utilizing statistical models to represent uncertainty and update probabilities.
*   **Neural Decision Making:** analyzing biological processes to understand how primates (including humans) make optimal choices based on sensory information.

### Key Academic Associations
Huang’s academic work was supervised by **Rajesh P.N. Rao**, a noted figure in computer science and computational neurobiology. This mentorship places Huang within a research lineage dedicated to understanding the computational principles of the brain. Huang is classified professionally as a computer scientist.

## References

1. WorldCat