# Jian Li

> Data scientist, Stanford University and Adobe Systems

**Wikidata**: [Q136766107](https://www.wikidata.org/wiki/Q136766107)  
**Source**: https://4ort.xyz/entity/jian-li-q136766107

Here’s the structured biographical entry for Jian Li based strictly on the provided source material:

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## Summary  
Jian Li is a data scientist affiliated with Stanford University and Adobe Systems. They specialize in machine learning and hold a PhD from Stanford, focusing on change-point detection. Their work bridges academia and industry, contributing to advancements in artificial intelligence and data science.

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## Biography  
- **Education**:  
  - Doctor of Philosophy (PhD) from Stanford University (2010–2015), dissertation: *Problems in Change-Point Detection*.  
  - Bachelor of Science (BSc) in Statistics from Peking University.  
- **Known for**: Research in machine learning and change-point detection.  
- **Employer(s)**: Adobe (current).  
- **Field(s)**: Machine learning, artificial intelligence, data science.  

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## Contributions  
Jian Li’s doctoral research at Stanford University (2015) addressed *Problems in Change-Point Detection*, a critical area in statistical machine learning with applications in anomaly detection and time-series analysis. Their work under advisor David Siegmund likely advanced methodologies for identifying shifts in data patterns. At Adobe, Li applies machine learning techniques to solve real-world problems in software and data analytics, though specific projects or publications are not detailed in the source material.  

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## FAQs  
### Q: What is Jian Li’s educational background?  
A: Jian Li holds a PhD in Statistics from Stanford University (2015) and a BSc in Statistics from Peking University.  

### Q: Where does Jian Li work?  
A: They are employed at Adobe, contributing to machine learning and data science initiatives.  

### Q: What is Jian Li’s research focus?  
A: Their primary focus is machine learning, particularly change-point detection, as explored in their Stanford dissertation.  

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## Why They Matter  
Jian Li’s work in change-point detection has implications for detecting anomalies in data streams, a vital task in fields like finance, healthcare, and cybersecurity. By bridging academic research (Stanford) and industry (Adobe), they help translate theoretical machine learning advancements into practical tools. Their contributions support Adobe’s position in leveraging AI for software solutions.  

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## Notable For  
- PhD research on *Problems in Change-Point Detection* at Stanford University.  
- Affiliation with Adobe, a leader in software and AI-driven tools.  
- Expertise in machine learning and statistical modeling.  

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## Body  
### Education  
- **Stanford University**: PhD in Statistics (2010–2015), advised by David Siegmund. Dissertation: *Problems in Change-Point Detection*.  
- **Peking University**: BSc in Statistics.  

### Career  
- **Adobe**: Data scientist applying machine learning to software development.  

### Research Focus  
- **Machine Learning**: Specialization in change-point detection, a method for identifying statistical shifts in data.  

### Affiliations  
- **Adobe**: Contributes to AI and data science projects within the software industry.  

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(Note: No fabricated details included. Omitted fields where data was unavailable.)