Investigating the differential migration preferences of epithelial and mesenchymal cells on curved substrates using EMT induction and multi-omics analysis. Developing a high-throughput, machine-learning-based image analysis pipeline to quantify cell volume variations in 3D environments.
Meng-Ru Wu
Theoretical particle and nuclear astrophysics: neutrinos, nucleosynthesis, dark matter, supernovae, neutron star mergers
Chung-Ting Ke
Development of high-quality superconducting qubits and exploration of exotic quantum states in hybrid systems composed of two-dimensional materials and superconductors.
Chen-Hsuan Hsu
Quantum matter theory, aiming to deepen our understanding of quantum matter and quantum phenomena in nanoscale systems, including (Hermitian and non-Hermitian) topological phases of matter, strongly correlated systems, as well as transport and spin-related phenomena.
Wei-Li Lee
Quantum transports in quantum materials, topological systems, complex oxides and interface physics, strongly correlated electronic systems, graphene-based and 2D microcrystal devices
Jian-geng Chiou
How cells decide their growth modes using biophysical principles derived from Reaction-Diffusion systems. Numerical simulations, Analytical solutions, and microscopic image analysis of live cells.
Miranda Cheng
Mathematical physics, Machine Learning, and High Energy Theory
Yi-Kuan Chiang
Full-sky optical intensity map making from the TESS satellite. Missing baryons in cosmic filaments via the Sunyaev-Sel'dovich effect.
Yen-Ting Lin
Machine learning-assisted search for observational signatures of halo assembly bias. Search for distant galaxy clusters using data from Subaru Prime Focus Spectrograph Survey or Rubin's Legacy Survey of Space and Time
