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Hendrick de Haan
PhD

Assistant Professor

Physics

Faculty of Science

Dr. de Haan is a computational biophysicist. His research focuses on modeling and simulating biological molecules and their interactions with nanotechnology.

@cNabLab YouTube

Contact information

Science Building - Room 2023
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1G 0C5

905.721.8668 ext. 6237

hendrick.dehaan@ontariotechu.ca
https://faculty.uoit.ca/dehaan/cNAB.LAB/

Research topics

  • Biophysics
  • Nanotechnology
  • Molecular Dynamics
  • Monte Carlo
  • Machine Learning
  • Proteins
  • DNA
  • Carbohydrates
  • Nanoparticles
  • Bacteria
  • Cells

Areas of expertise

  • Computational Science
  • Modeling and Simulation
  • Coarse-grained Approaches
  • Biophysics,Molecular Dynamics
  • Polymer Physics

Background

Dr. de Haan received his PhD in Physics from the University of Guelph. For his dissertation he performed atomistic scale molecular dynamics simulations of ion channel proteins. Following his PhD, Dr. de Haan entered a postdoctoral fellowship at the University of Ottawa. During this time he conducted coarse-grained simulations of many systems including DNA passing through nanopores and magnetic nanoparticles as contrast agents in MRI. Dr. de Haan joined Ontario Tech in 2013 and has since established the cNab.Lab which combines both atomistic scale and coarse-grained simulation approaches to study a variety of systems across different time and length scales - usually with a nanotechnology focused application. Current projects include studying detailed protein structure-function relationships for drug design, the dynamics of DNA in nanoconfinement for genomics analysis, the use of carbohydrate-based nanoparticles for drug delivery, the motion of bacteria crawling across surfaces, and the stacking of red blood cells as a disease indicator.

Education

  • PhD in Physics University of Guelph 2007

Courses taught

  • Physics I PH1010
  • Mechanics I PHY2030
  • Mathematical Physics PHY3040
  • Biophysics PHY3510
  • Computational Polymer Physics PHY4030
  • Modeling and Simulating Systems Using Discrete Units MCSC6040
  • Biophysics Reading Course MCSC6210