• Ph.D. in Computer Science – University of California, Berkeley (2012)
  Specialization: Artificial Intelligence and Machine Learning
• M.S. in Computer Science – Massachusetts Institute of Technology (2007)
  Specialization: Software Engineering
• B.S. in Computer Engineering – Stanford University (2005)
  Specialization: Networking and Operating Systems

• Associate Professor, Computer Science Department
  Stanford University (2017–Present)

• Assistant Professor, Computer Science Department
  University of Texas at Austin (2012–2017)

• Research Fellow, AI Lab
  Google Research (2010–2012)

• Head of Department, Computer Science – Stanford University (2020–Present)

• Director, AI Research Center – Stanford University (2018–2020)

• Principal Investigator – AI and Machine Learning Research Lab, Stanford University (2018–Present)

• Co-Investigator – NSF-Funded Project on Autonomous Systems, University of Texas at Austin (2015–2017)

• AI for Healthcare Diagnostics (2018–Present)

• Autonomous Vehicle Navigation Systems (2015–2017)

• Natural Language Understanding for Conversational AI (2012–2015)

• Reinforcement Learning in Multi-Agent Systems (2007–2012)

• “Deep Learning for Early Disease Detection: Applications in Healthcare”
  Journal of Medical Imaging and Health Informatics, 2022.

• “Optimization of Autonomous Vehicle Navigation Using Reinforcement Learning”
  IEEE Transactions on Intelligent Transportation Systems, 2017.

• “Advancements in Natural Language Understanding for Conversational AI”
  Journal of Artificial Intelligence Research, 2015.

• “Multi-Agent Systems: A Reinforcement Learning Perspective”
  ACM Transactions on Autonomous and Adaptive Systems, 2012.

• “A Novel Approach to Deep Learning in Medical Image Analysis”
  Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

• “Reinforcement Learning for Real-Time Autonomous Vehicle Control”
  Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2016.

• “Deep Learning Applications in Healthcare”
  Chapter in “Artificial Intelligence in Medicine: Theory and Applications”, Springer, 2022.

• “Autonomous Systems: Algorithms and Techniques”
  Chapter in “Advances in Robotics and Autonomous Systems”, Wiley, 2017.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• “System and Method for Real-Time Autonomous Vehicle Navigation”
  Patent No. US 9,876,543 B2, Issued 2017.

• “Deep Learning-Based Medical Imaging Analysis for Disease Detection”
  Patent No. US 10,123,456 B1, Issued 2020.

• “AI in Healthcare: Revolutionizing Diagnostics”

• “Reinforcement Learning for Autonomous Systems”

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