A.P. de Koning, University of Calgary

Research

Bayesian inference comparative genomics computational population genetics large-scale inference molecular evolution

Latest funding

Modelling the Population Genetics of Non-Equilibrium Molecular Evolution: Understanding The Forces that Shape The Genome
NSERC · 2020 · Principal investigator
$198,000
How does parenting interact with genetic differential susceptibility in predicting attachment patterns in preschool-aged children?
CIHR · 2020 · Supervisor
$105,000
Detecting Evolution of Amino-Acid Fitness in Vertebrate Genomes
NSERC · 2014 · Principal investigator
$174,000

Modelling the Population Genetics of Non-Equilibrium Molecular Evolution: Understanding The Forces that Shape The Genome

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: de Koning, A.P. Jason

Keywords: molecular evolution; computational population genetics; comparative genomics; large-scale inference; bayesian inference

$198,000

How does parenting interact with genetic differential susceptibility in predicting attachment patterns in preschool-aged children?

SupervisorCIHR2020Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Potter-Dickey, Amelia M

Keywords: Attachment Pattern; Developmental Origins Of Health And Disease; Differential Susceptibility; Early Childhood Development; Genetics; Health Promotion; Longitudinal; Maternal-Child Interaction Quality; Nursing; Secondary Analysis

$105,000

Detecting Evolution of Amino-Acid Fitness in Vertebrate Genomes

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: DeKoning, APJason

$174,000

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

Write to this professor

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Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Bayesian inference Dear Professor de Koning, 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]. Your research on bayesian inference 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 "Modelling the Population Genetics of Non-Equilibrium Molecular Evolution: Understanding The Forces that Shape The Genome" (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]