Hendrick de Haan, Ontario Tech University

Research

coarse-grained simulations deep learning machine learning nanofluidics nanoparticles neural networks numerical solutions partial differential equations

Latest papers

DNA origami characterized via a solid-state nanopore: insights into nanostructure dimensions, rigidity and yield.
Nanoscale · 2023
A mutational and molecular dynamics study of the cys-loop GABA receptor Hco-UNC-49 from Haemonchus contortus: Agonist recognition in the nematode GABA receptor family.
International journal for parasitology. Drugs and drug resistance · 2018

All 2 publications

Latest funding

NSERC CREATE Training Program for Controlled Release Leaders (ContRoL)
NSERC · 2021 · Co-investigator
$1,032,000
Combining Deep Learning and Coarse Grained Simulation Methods to Study High-Dimensional NanoBiophysical Systems
NSERC · 2020 · Principal investigator
$136,000
Using Molecular Dynamics Simulations to Explore Mechanisms of Conveying Resistance to Cellulose Biosynthesis Inhibitors by Selective Mutatations
NSERC · 2018 · Principal investigator
$25,000

All 8 grants and awards

2 publications.

01

DNA origami characterized via a solid-state nanopore: insights into nanostructure dimensions, rigidity and yield.

He L, Charron M, Mensing P, Briggs K, Adams J, de Haan H, Tabard-Cossa V

Nanoscale2023

DOI: 10.1039/d3nr01873c PMID: 37580994

02

A mutational and molecular dynamics study of the cys-loop GABA receptor Hco-UNC-49 from Haemonchus contortus: Agonist recognition in the nematode GABA receptor family.

Foster J, Cochrane E, Khatami MH, Habibi SA, de Haan H, Forrester SG

International journal for parasitology. Drugs and drug resistance2018

DOI: 10.1016/j.ijpddr.2018.10.001 PMID: 30361167

NSERC CREATE Training Program for Controlled Release Leaders (ContRoL)

Co-investigatorNSERC2021Collaborative Research and Training Experience

Principal investigators: Hoare, Todd TR

Keywords: agriculture; controlled release; drug delivery; entrepreneurship; functional foods; industrial translation; medical devices; nanomaterials; personal care products; pharmaceuticals

$1,032,000

Combining Deep Learning and Coarse Grained Simulation Methods to Study High-Dimensional NanoBiophysical Systems

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: de Haan, Hendrick

Keywords: coarse-grained simulations; deep learning; machine learning; nanofluidics; nanoparticles; neural networks; numerical solutions; partial differential equations; particle simulations; polymer physics

$136,000

Using Molecular Dynamics Simulations to Explore Mechanisms of Conveying Resistance to Cellulose Biosynthesis Inhibitors by Selective Mutatations

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: DeHaan, Hendrick

$25,000

Rapid nanopore-based single molecule counting for accurate concentration measurements

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Tabard-Cossa, Vincent

$1,040,225

Resolving the structure of dendritic carbohydrate-based nanoparticles

Principal investigatorNSERC2017Collaborative Research and Development Grants

Principal investigators: DeHaan, Hendrick

$100,000

Using a Nanopore with a Central Cavity to Selectively Translocate DNA Strands of a Specified Length

Principal investigatorNSERC2016Engage Grants Program

Principal investigators: DeHaan, Hendrick

$25,000

Simulating the dynamic structure of polysaccharide nanoparticles for drug attachment and delivery

Principal investigatorNSERC2015Engage Grants Program

Principal investigators: deHaan, Hendrick

$25,000

Computational Nanobiophysics: Modeling and Simulating Biomolecules in Confinement

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: DeHaan, Hendrick

$114,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Martin Charron

Department of Medicine

1 shared papers, latest 2023

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: coarse-grained simulations Dear Professor de Haan, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "DNA origami characterized via a solid-state nanopore: insights into nanostructure dimensions, rigidity and yield." (2023), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Combining Deep Learning and Coarse Grained Simulation Methods to Study High-Dimensional NanoBiophysical Systems" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]