---
title: "About"
description: "Learn more about my research, teaching, and academic background."
role: "Associate Professor"
department: "Department of Computer Science"
university: "University of Technology"
location: "San Francisco, CA"
email: "jane.smith@university.edu"
office: "Mon & Wed 2:00-4:00 PM"
education:
  - year: "2015"
    degree: "Ph.D. in Computer Science"
    institution: "Stanford University"
  - year: "2010"
    degree: "M.S. in Computer Science"
    institution: "MIT"
  - year: "2008"
    degree: "B.S. in Computer Engineering"
    institution: "UC Berkeley"
experience:
  - period: "2020 - Present"
    role: "Associate Professor"
    organization: "University of Technology"
  - period: "2015 - 2020"
    role: "Assistant Professor"
    organization: "State University"
  - period: "2013 - 2015"
    role: "Postdoctoral Researcher"
    organization: "Microsoft Research"
skills:
  - name: "Machine Learning"
    level: 95
  - name: "Deep Learning"
    level: 90
  - name: "Natural Language Processing"
    level: 85
  - name: "Computer Vision"
    level: 80
  - name: "Reinforcement Learning"
    level: 75
  - name: "Data Science"
    level: 90
awards:
  - year: "2023"
    title: "NSF CAREER Award"
    organization: "National Science Foundation"
  - year: "2022"
    title: "Best Paper Award"
    organization: "NeurIPS Conference"
  - year: "2021"
    title: "Teaching Excellence Award"
    organization: "University of Technology"
---

I am an Associate Professor in the Department of Computer Science at the University of Technology, where I lead the Machine Learning Research Group. My research focuses on developing robust and interpretable AI systems, with applications in healthcare, robotics, and natural language understanding.

## Research Interests

My research spans several areas of artificial intelligence and machine learning:

- **Deep Learning**: Neural network architectures, optimization, and generalization
- **Computer Vision**: Medical image analysis, object detection, and scene understanding  
- **Natural Language Processing**: Clinical text mining, sentiment analysis, and language generation
- **Reinforcement Learning**: Robotic manipulation, game playing, and autonomous systems
- **AI Ethics**: Fairness, transparency, and accountability in AI systems

## Teaching Philosophy

I believe in active learning and strive to create an inclusive classroom environment where all students can thrive. My courses emphasize hands-on projects, collaborative learning, and connections to real-world applications.

## Service

I regularly serve as a reviewer for top-tier conferences and journals including NeurIPS, ICML, ICLR, CVPR, and ACL. I am also a member of the ACM and IEEE, and serve on the editorial board of the Journal of Machine Learning Research.