🚀 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 venues!

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 following two programs at ASU. If you’re interested in pursuing doctoral research with me, I warmly encourage you to apply to both programs to maximize your chances of admission. Admission decisions are made by a committee, and students have the opportunity to collaborate with multiple exceptional faculties in the department.
🔸 Ph.D. in Computer Information Systems
🔸 Ph.D. in Data Science

💻 Master’s Students (ASU)

If you’re a Master’s student at ASU interested in research, I recommend that you first complete at least one of the following machine learning–related 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

These courses will help ensure you have the foundational knowledge needed to contribute meaningfully to research projects.

If you’re enrolled in the MS in Data Science, Analytics, and Engineering program and are interested in doing a thesis with me, you’re welcome to reach out after completing one or more of the above courses and reviewing my papers to identify overlapping research interests.

🔬 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 (such as CSE 475/476 or equivalent)
🔹 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.