Problem Solver

Anthony Manzo

Areas Anthony Manzo is Knowledgeable in:

Scientific, Research, Engineering, and Technical

Techniques Anthony Manzo Uses:

-Expertise in instrumentation and scientific techniques for detection and characterization of materials, biomolecules, and their interactions.

-Strong analytical approach with extensive programming, computer, and numerical analysis skills.

-Extensive data acquisition and instrumentation skills.

-Presenting research results through professional conferences and publications.

Anthony Manzo's Problem Solving Skills:

  1. Opics, Photonics, electro-optics
  2. Biomolecular Systems
  3. Biochemical, molecular biology, and wet lab skills
  4. Materials Science
  5. Imaging
  6. Spectroscopy
  7. Microscopy
  8. Programming and numerical analysis (Visual C++, Matlab, Fortran, Python, Basic, etc.)

Anthony Manzo's Problem Solving Experience:

  1. Experimentally verified the coupling of charge transfer (electron transfer) and structural changes in proteins (bacterial photosynthetic reaction centers (RCs)) using transient absorption spectroscopy. Results were modeled using a stochastic theory of non-equilibrium charge-conformation interactions. Showed that light-induced structural changes in RCs occur due to protein structural diffusion along the surface of a non-equilibrium adiabatic potential. Revealed how bioenergetics of RC can be altered.
  2. Designed and developed experiments and tools for super-resolution imaging, tracking, and analysis of autonomous, robotic, biological nano-assemblies using single molecule total internal reflection fluorescence (TIRF) microscopy. Resulted in Nature publication demonstrating proof of concept, description of kinetic activity and control features.
  3. Used laser heterodyne setup to study and identify ultrasonic and acoustic waves in solids that were generated by pulsed lasers. Identified frequency components and their affect on surface clusters and molecules.
  4. Utilized an ab initio quantum mechanical code (computer program) with density functional theory (DFT) to determine the magneto-optic Kerr effect (changes of light reflected from magnetized material) of various iron, platinum and cobalt multilayered materials (See presentation link below) and utilized an atomic force code to determine the equilibrium atomic configurations of such compounds.