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Professional Experience

Associate Professor

Associate Professor

2022 - Present

University of Research, Department of Computer Science

  • Leading the AI Research Lab with a focus on computer vision and natural language processing
  • Teaching graduate courses in Advanced Machine Learning and Deep Learning
  • Supervising 5 PhD students and 3 postdoctoral researchers
  • Developing new curriculum for AI ethics and responsible machine learning
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Key Achievements:

  • Secured $3.2M in research funding from NSF, NIH, and industry partners
  • Published 8 papers in top-tier conferences and journals in the last year
  • Established a new interdisciplinary research initiative with the Medical School
Assistant Professor

Assistant Professor

2019 - 2022

University of Research, Department of Computer Science

  • Established a new research group focused on AI applications
  • Secured $1.2M in research grants from NSF and industry partners
  • Published 15 papers in top-tier conferences and journals
  • Developed and taught new graduate courses in Deep Learning and Computer Vision

Key Achievements:

  • Received the University's Early Career Research Award in 2021
  • Mentored 3 PhD students who successfully defended their dissertations
  • Developed a patent-pending technology for efficient neural network deployment
Research Scientist

Research Scientist

2019

Tech Innovation Labs

  • Led a team of 4 researchers working on computer vision applications
  • Developed novel algorithms for real-time object detection on mobile devices
  • Collaborated with product teams to integrate AI technologies into consumer products
  • Represented the company at international AI conferences

Key Achievements:

  • Reduced model inference time by 40% while maintaining accuracy
  • Filed 2 patents for novel computer vision algorithms
  • Published research in CVPR and ICCV
Postdoctoral Researcher

Postdoctoral Researcher

2018 - 2019

Stanford University, AI Lab

  • Conducted research on self-supervised learning for computer vision
  • Collaborated with faculty and graduate students on multiple research projects
  • Mentored undergraduate and graduate students
  • Assisted in grant writing and project management

Key Achievements:

  • Published 4 papers in top-tier conferences (NeurIPS, CVPR)
  • Developed a new benchmark dataset for few-shot learning
  • Contributed to a successful $1.5M NSF grant proposal
Research Intern

Research Intern

Summer 2018

Google AI Research

  • Developed novel algorithms for image recognition using limited training data
  • Collaborated with a team of researchers on a project that was later published at CVPR
  • Implemented and evaluated various few-shot learning approaches
  • Presented research findings to senior research scientists

Key Achievements:

  • Work resulted in a publication at CVPR with an oral presentation
  • Developed a method that improved few-shot learning accuracy by 12%
  • Code was integrated into Google's internal machine learning framework