Postdoctoral Research Officer
CurrentI develop novel methods and apply existing statistical techniques to public health data, especially in the fields of Hepatitis C elimination and alcohol and other drug policy.
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@burnet.edu.au
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Damian Pavlyshyn is listed as Postdoctoral Researcher at Burnet Institute at Burnet Institute, a with 367 employees, based in Prahran, Victoria, Australia. AeroLeads shows a work email signal at burnet.edu.au and a matched LinkedIn profile for Damian Pavlyshyn.
Damian Pavlyshyn previously worked as Postdoctoral Research Officer at Burnet Institute and PhD Student at Stanford University. Damian Pavlyshyn holds Doctor Of Philosophy - Phd, Statistics from Stanford University.
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Damian Pavlyshyn is a Postdoctoral Researcher at Burnet Institute at Burnet Institute.
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Melbourne, Victoria, Australia
I develop novel methods and apply existing statistical techniques to public health data, especially in the fields of Hepatitis C elimination and alcohol and other drug policy.
Stanford, California, United States
Taught a class (STATS32: Introduction to R for undergraduates) about data analysis using the tidyverse R packages on the basis of a curriculum that I developedAdapted the course to be entirely online and able to be taught by distance
Stanford, California, United States
Held sections and office hours for 12 courses in the Statistics Department at the undergraduate, masters, and PhD level.
London, England, United Kingdom
Developed and implemented inferential and predictive models for a newly-acquired financial dataset using python packages including pandas and sk-learn
Melbourne, Victoria, Australia
Created and taught a curriculum of revision and extension tutorials that complemented the undergraduate mathematics classes of the University of Melbourne.
Melbourne, Victoria, Australia
Ran tutorials and computer lab sessions for first-year linear algebra and second-year real analysisstudents
Melbourne, Victoria, Australia
Provided statistical and computational support to an Immunology lab.Co-authored an article (Kan A, Pavlyshyn D, Markham JF, Dowling MR, Heinzel S, Zhou JHS, et al. (2016) Stochastic Measurement Models for Quantifying Lymphocyte Responses Using Flow Cytometry. PLoS ONE 11(1): e0146227. doi:10.1371/journal.pone.0146227), which included the products of my workSoftware that I developed was used to analyse results published in the article Marchingo et al., “Antigen affinity, costimulation, and cytokine inputs sum linearly to amplify T cell expansion,” Science 28 November 2014: 1123-27.
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Hayley Cavanagh
Colleague at Burnet InstituteGreater Melbourne Area, Australia
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Ai Yawn
Colleague at Burnet InstituteMyanmar
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Arthur Truong
Colleague at Burnet InstituteGreater Melbourne Area, Australia
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Mark Tennent
Colleague at Burnet InstituteGreater Melbourne Area, Australia
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Alfeu Muchine
Colleague at Burnet InstituteMozambique
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Cathryn Alvey
Colleague at Burnet InstituteDocklands, Victoria, Australia
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Kape Samson Jnr
Colleague at Burnet InstituteEastern Highlands, Papua New Guinea
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Alessia Hysa
Colleague at Burnet InstituteMelbourne, Victoria, Australia
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Damian Oyong
Colleague at Burnet InstituteAustralia
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Sid Sharma
Colleague at Burnet InstitutePerth, Western Australia, Australia
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Thesis title: Likelihood ratio testing in critically-spiked Wigner models
Thesis title: Coupling techniques and Wasserstein metrics for Poisson process approximation
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Damian Pavlyshyn works for Burnet Institute.
Damian Pavlyshyn is listed as Postdoctoral Researcher at Burnet Institute at Burnet Institute.
AeroLeads has found 1 work email signal at @burnet.edu.au for Damian Pavlyshyn at Burnet Institute.
Damian Pavlyshyn is based in Prahran, Victoria, Australia while working with Burnet Institute.
Damian Pavlyshyn has worked for Burnet Institute, Stanford University, G-Research, International House, The University Of Melbourne, and University Of Melbourne.
Damian Pavlyshyn's colleagues at Burnet Institute include Hayley Cavanagh, Ai Yawn, Arthur Truong, Mark Tennent, and Alfeu Muchine.
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Damian Pavlyshyn holds Doctor Of Philosophy - Phd, Statistics from Stanford University.
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