The People Behind NTUAIS

Tzu Kit Chan is the Chief of Staff at Atlas Computing, a 501c3 in Palo Alto. He is also a key advisor to 35+ important AI safety university groups. Notably, he was the Executive Director of Stanford AI Alignment (SAIA), directing bright Stanford students to work on AGI preparedness research. He’s now an Executive Advisor to SAIA, Berkeley’s AI Safety Student Initiative, and Caltech’s AI Alignment (CAIA). These university groups accelerate the development of ambitious students in technical AI alignment research, AI policy and international governance, AI security, and field-building work to mitigate the catastrophic risks posed by superintelligent AI for the benefit of humanity. He is the youngest advisor to Malaysia’s National AI Office (NAIO) AI Safety

Organizer of EA Taiwan and founder of Taiwan AIS Group. Data Team Lead focused on AIS community building and agent alignment in EdTech.

Ph.D. student at NTU and visiting scholar at Texas A&M. Founder of Taiwan AI Safety (TWAIS) Group, researching preference alignment and generative models.

I am an Associate Professor in the Department of Computer Science and Information Engineering and Graduate Institute of Networking and Multimedia at National Taiwan University. I work in the intersection of applied and theoretical machine learning, with a strong application focus on cybersecurity. My recent research interests include adversarial ML and various aspects of security, privacy, and fairness of ML models. I lead the NTU AI Security Lab, where we are actively looking for highly motivated Postdocs, PhD, MS, and undergraduate students!

AI researcher focusing on NLP, Speech Processing, and Mechanistic Interpretability. Facilitator for 2025 Taiwan AI Safety Summer Workshop.

Junior at NTU CSIE, researching machine unlearning and adversarial perturbation at AIS Lab, and sparse autoencoder-based reward modeling for RLHF. Outside the lab, organizes the NTU AI Safety reading group and co-leads community-building efforts to bring AI Safety to Taiwan.

Research in medical AI with focus on interpretable models and reinforcement learning for diffusion model alignment.

Workshop facilitator at 2025 Taiwan AI Safety Summer Workshop. Passionate about understanding intelligence and AI alignment.

Vic was a member of the NTU AI Safety Reading Group from 2023 to 2024. His broad research includes on digital transformation in government settings, particularly in policing and public safety. His studies utilize social network analysis and machine-learning-infused causal inference techniques to model the complex social dynamics and impacts of police technology innovations. Given the increasing demand for AI applications in everyday policing and the broader criminal justice system, he believes it is essential for public safety and criminal justice scholars to have a stronger understanding of AI safety. This knowledge is crucial to prevent new technologies from exacerbating existing biases and to maintain a balance between digital surveillance and privacy.

Rokas was a member of the NTU AI Safety Reading group in 2024, during his PhD exchange at NTU. He holds a PhD in CS and is a researcher at Vilnius University, as well as a research analyst at AI Standards Lab, a nonprofit focused on technical AI safety standards. He has also served as a mentor in the SPAR and IRG AI safety programs. His research interests include explainable AI and model interpretability, AI evaluation, frontier AI policy, and risk management. He currently lives in Lithuania.

Shin helped start and organize NTUAIS in 2024. He has long been thinking about how to do the most good, Besides AI safety, Shin is also involved in animal advocacy. He studied at Peking University and NTNU (Taiwan). In his free time, Shin enjoys swimming and river tracing, and is currently trying to acclimate to colder water.