PachaLab

PachaLab is focused on the design of analog habitats and mission environments, spaces and systems that emulate constraints of space exploration to support research, training, and iterative engineering development. The lab explores how humans, hardware, and operations fit together in realistic mission-like conditions.

Core focus areas:

• Analog habitat design principles (layout, operations, constraints)
• Systems integration for living/working environments in remote conditions
• Mission scenarios and operational workflows (crew routines, logistics, safety)
• Prototyping and validation through simulations and analog testing activities.

Advisors:

Dr. Matias Quintana is a distinguished professional in the field of urban data science and artificial intelligence, recognized for his extensive expertise in applied machine learning, urban analytics, and human-building interaction. With a robust background in developing AI-driven solutions for the built environment at the Singapore-ETH Centre and contributing to global initiatives like the National University of Singapore’s Streetscapes project, he has consistently demonstrated a commitment to integrating cutting-edge computational technology with sustainable urban planning strategies. Beyond his technical achievements, Dr. Quintana is a passionate advocate for open-source research and global collaboration in STEM, frequently sharing his insights at international forums and mentoring emerging researchers to inspire the next generation of urban scientists. His work seamlessly bridges the gap between advanced academic research and practical, real-world smart city applications, making him a leading voice in the evolution of modern urban science.

Researchers: