Leading a team of 6 researchers and 30 educators in developing AI-driven educational tools:

• Developed automatic code essay evaluation platform
• Architected predictive models for early student dropout detection
• Coordinated with product teams to integrate research into learning management systems

Leading research and education in AI and machine learning:

• Research in imitation learning, reinforcement learning, and LLMs for action taking in robotics and coding
• Teaching graduate courses in machine learning, reinforcement learning, NLP, and LLMs
• Supervising Ph.D. students and coordinating industry research collaborations
• Developing curriculum for emerging AI technologies

Managing a team of 8 researchers in robotic learning and manipulation:

• Integrated large language models with robotic control systems
• Developed novel imitation learning algorithms for complex tasks
• Established collaborations with leading robotics institutions

Directing a team of 12 researchers across machine reading, RL, and optimization:

• Achieved top performance on machine reading comprehension benchmarks
• Led large-scale stochastic optimization projects for search and recommendation
• Mentored junior researchers and facilitated knowledge transfer

Conducting research in deep reinforcement learning and active learning:

• Filed 17 patents in machine learning, NLP, and recommender systems
• Collaborated with product teams to commercialize research innovations
• Published influential work on memory networks and dialog state tracking

Teaching and research in machine learning:

• Co-supervised two Ph.D. candidates in reinforcement learning for wireless networks
• Taught machine learning and signal processing courses (768+ hours)
• Developed practical labs and supervised student projects

Advanced reinforcement learning research:

• Advanced reinforcement learning for SLAM in autonomous underwater vehicles
• Published research on navigation algorithms for challenging environments