Enrico Lattuada

Enrico Lattuada

Postdoctoral Researcher

University of Vienna

Biography

I am a senior postdoc working in the Group of Roberto Cerbino at the Faculty of Physics of the University of Vienna. My research interests include the investigation of the structure and dynamics of complex colloidal suspensions using advanced optical techniques and the development of high-performance codes for experiments analysis (using Python and C++/CUDA).

Interests
  • Advanced optical techniques applied to soft matter
  • High-performance computing with Python, C++, and CUDA
  • Structure, dynamics, self-assembly, and phase-separation in complex fluids
Education
  • PhD in Industrial Chemistry and Chemical Engineering, 2019

    Polytechnic of Milan

  • MSc in Nuclear Engineering, 2015

    Polytechnic of Milan

  • BSc in Energy Engineering, 2012

    Polytechnic of Milan

Experience

 
 
 
 
 
University of Vienna
Postdoctoral Researcher
March 2022 – Present Vienna, AT
  • Experimental investigation and analysis of non-equilibrium effects in sedimentation
  • Development of fastDDM to accelerate differential dynamic microscopy analysis
  • Laboratory establishment
 
 
 
 
 
Sapienza University of Rome
Postdoctoral Researcher
December 2018 – February 2022 Rome, IT
  • Development of optical setup for the characterization of the dynamics of colloidal samples
  • Development and characterization of DNA gels for biomedical applications
  • Molecular dynamics simulations of DNA nanoparticles

Skills

Python
Jupyter Notebook
GitHub
C++/CUDA
Ubuntu
Matlab
Coffee drinking

Projects

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fastDDM
FastDDM is a Python library for the analysis of microscopy image sequences using Differential Dynamic Microscopy on CPU and GPU. The features implemented are targeted at the experimental soft matter research community dealing with inert and active/biological samples.
fastDDM

Recent Publications

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(2022). Interpenetrating gels in binary suspensions of DNA nanostars. J. Chem. Phys. 157, 135101.

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(2022). Treatment of kidney clear cell carcinoma, lung adenocarcinoma and glioblastoma cell lines with hydrogels made of DNA nanostars. Biomater. Sci. 10, 1304-1316.

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(2020). DNA-GEL, novel nanomaterial for biomedical applications and delivery of bioactive molecules. Front. Pharmacol. 11, 1345.

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(2018). Compressive yield stress of depletion gels from stationary centrifugation profiles. J. Phys.: Condens. Matter 30, 044005.

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