We have a wide range of interests (Not all those who wander are lost!). 

Please visit our research page for more details.

Our research lies at the intersection of quantum science, materials physics, energy technologies, machine learning, and biophysics. We combine fundamental theory with advanced spectroscopy, microscopy, electrical transport, electrochemistry, quantum simulation, and multiphysics modeling to understand how structure, defects, interfaces, and dynamics govern the behavior of complex systems. Our work ranges from quantum transport and localization in low-dimensional materials to solid-state electrolytes, lithium batteries, thermal-management materials, betavoltaic energy conversion, biosensors, and quantum biophysics.

A unifying goal of the laboratory is to translate physical understanding into practical tools and technologies. We develop quantum-computing methods for reliable certification, machine-learning workflows for materials discovery and thermal characterization, electrochemical strategies for safer and higher-performance energy storage, and personalized sensing approaches for human health. By integrating experiments, computation, and data-driven modeling, we seek both to answer fundamental scientific questions and to create solutions relevant to energy, electronics, healthcare, and national security.

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Podila TED^x Talk (August 2024)