Generative Learning and Augmented Decision (GLAD) Lab
Welcome to our lab! 😆
🚀 Join the GLAD Lab!
Are you passionate about Generative AI, LLM-powered agents, Trustworthy AI, Human-AI Collaboration, and Computational Social Science? Do you want to work on cutting-edge research that makes an impact? If so, I invite you to join the Generative Learning and Augmented Decision (GLAD) Lab!
We are more than just a research lab—we are a tight-knit community. At GLAD, we believe that groundbreaking research happens in an environment where people feel supported, encouraged, and inspired. If you are eager to push boundaries, tackle challenging research problems, and publish in top venues—while being part of a collaborative and supportive team—we would love to have you on board! 🚀
Who Should Apply?
We are looking for students who are:
✅ Strong in programming (Python/C++, with experience in deep learning frameworks like PyTorch)
✅ Solid in mathematical foundations (e.g., probability, statistics, linear algebra, optimization)
✅ Knowledgeable in AI/ML (machine learning, data mining, or AI fundamentals)
✅ Passionate about research (publications in ML or interdisciplinary venues are a plus, but not required)
✅ Self-motivated, curious, and ready to take initiative – we encourage students to lead projects and publish at top conferences!
If you thrive in an environment where innovation meets impact, we want you on board!
💡 If you are interested in working with me, please read the instructions below and fill out this form. Due to high email volume, I apologize for not being able to reply to every inquiry!
Opportunities at the GLAD Lab
🎓 Ph.D. Students
I currently advise Ph.D. students in the ASU Computer Information Systems Ph.D. program. If you are interested, please apply to this program directly. Admission decisions are made by the committee, and you can work with multiple our amazing faculties in the deparment.
💻 Master’s Students (ASU)
For ASU Master’s students, I encourage you to take at least one of the following machine learning courses before reaching out:
📌 CSE 475 Foundations of Machine Learning
📌 CSE 476 Introduction to Natural Language Processing
📌 CSE 569 Fundamentals of Statistical Learning and Pattern Recognition
📌 CSE 572 Data Mining
📌 CSE 575 Statistical Machine Learning
📌 CSE 576 Topics in Natural Language Processing
Completing one or more of these courses will ensure you have the necessary background to contribute effectively to our research.
🔬 Undergraduate Students (ASU)
I am always excited to work with highly motivated undergraduates at ASU! If you have a strong interest in AI/ML research, here are some ways to get involved:
🔹 Strong coursework performance in AI/ML-related subjects
🔹 Participation in hackathons and research competitions
🔹 Involvement in ASU’s FURI/SURI/GCSP programs
🌍 Interns & Visiting Students
We occasionally host exceptional self-funded visiting students and interns. To be considered, you should have:
🔹 Prior research experience (e.g., published papers or strong recommendations from researchers I know)
🔹 A well-defined research focus that aligns with GLAD Lab’s mission
🚀 Looking forward to working with the next generation of AI pioneers!
🌟 Our Lab Culture
The GLAD Lab is built on the belief that great research happens in an environment of trust, collaboration, and mutual growth. Our core values:
🤝 Collaboration & Mentorship – We learn from each other, whether you’re a first-year student or a seasoned researcher. No one is alone in their journey.
🚀 Ambition & Impact – We aim to push the boundaries of AI research, with real-world applications that create lasting change.
💡 Creativity & Exploration – Innovation thrives in curiosity-driven research. We value bold ideas and encourage students to explore unconventional approaches.
📚 Excellence with Support – Our goal is to publish in top-tier AI/ML/interdisciplinary conferences and journals, and we work as a team to get there. From brainstorming ideas to paper writing, we support each other every step of the way.
🎯 Ownership & Growth – Every member of the GLAD Lab is encouraged to take initiative, lead projects, and develop their own research identity.
🌍 Belonging – We welcome students from all backgrounds because we believe varied perspectives lead to stronger, more innovative research. No matter where you’re from, you belong here.
At GLAD Lab, you are never alone in your research journey—we work together, grow together, and celebrate each other’s successes.