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system compatibility, and using a wide range of structural and chemical analysis tools (XRD, AFM, TEM, STEM, XPS, EDX/EMPA) to characterize film crystallinity, interface quality, and elemental composition
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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studies. Experience with protein structure predictions methods and co-folding methods (i.e. AlphaFold or Boltz models). Strong software development skills in Python, including software package development
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spectroscopy and scattering methods. The primary aim is to elucidate the structural and dynamical properties of lipids in asymmetric membranes, particularly their interactions with integral membrane proteins