Jason Whyte

Postdoctoral Research Fellow

Education

Affiliations

School of Biosciences, University of Melbourne
School of Mathematics and Statistics, University of Melbourne

Bio

I am a mathematician and postdoctoral fellow in the Centre for Biosecurity Risk Analysis (CEBRA, School of Biosciences) and the Centre for Environmental and Economic Research (CEER), at The University of Melbourne. I have an interest in biochemical systems and parameter estimation, with a particular focus on testing models for structural global identifiability. This has led to some involvement with infectious disease modellers through a local workshop in 2019 (https://www.matrix-inst.org.au/events/influencing-public-health-policy-with-data-informed-mathematical-models-of-infectious-diseases/) which produced a publication: https://doi.org/10.1016/j.epidem.2020.100393 I also worked on a malaria project with the School of Population and Global Health at The University of Melbourne. (The resultant paper is currently under review.) In my CEBRA/CEER employment I have undertaken various data analysis tasks. Most recently I have worked on a project for the New South Wales Environment Protection Authority on chemical risk prioritisation. The project scraped the scientific literature to find the research interest (in Web of Science) relating to chemicals and adverse effects on the environment. We use this as a substitute for lab-based assessments of harmfulness as often such data is not available. I expect that the scraping code developed for this project may have other applications where the scientific literature can act as a proxy for some quantity that is difficult to measure.

Preferred Pronouns

He/him/his

Personal Academic Website

https://jmwhyte.github.io/

Research/Topics of Interest

Apply models to public health
Compartmental models
Intra-host modeling
Network models
Public health application of models
Public health policy/interventions
Science communication
Statistical models
Time-series models
web scraping
time series analysis
Maple programming
identifiability
visualisations
linear switching systems
R programming
time series classification

Pathogens/Diseases of Main Interest/Expertise

Malaria

Countries of Work/Collaboration

United States
Afghanistan
Åland Islands
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo, The Democratic Republic of The
Cook Islands
Costa Rica
Cote D ivoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-bissau
Guyana
Haiti
Heard Island and Mcdonald Islands
Holy See (Vatican City State)
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran, Islamic Republic of
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea, Democratic Peoples Republic of
Korea, Republic of
Kuwait
Kyrgyzstan
Lao Peoples Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Liechtenstein
Lithuania
Luxembourg
Macao
Macedonia, The Former Yugoslav Republic of
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia, Federated States of
Moldova, Republic of
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
Netherlands Antilles
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestinian Territory, Occupied
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Reunion
Romania
Russian Federation
Rwanda
Saint Helena
Saint Kitts and Nevis
Saint Lucia
Saint Pierre and Miquelon
Saint Vincent and The Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and The South Sandwich Islands
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Taiwan, Province of China
Tajikistan
Tanzania, United Republic of
Thailand
Timor-leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States Minor Outlying Islands
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Virgin Islands, British
Virgin Islands, U.S.
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe

Projects

Papers

Zaloumis SG, Whyte JM, Tarning J, Krishna S, McCaw JM, Cao P, White MT, Dini S, Fowkes FJI, Maude RJ, Kremsner P, Dondorp A, Price RN, White NJ, Simpson JA. (2021). Development and validation of an in silico decision-tool to guide optimisation of intravenous artesunate dosing regimens for severe falciparum malaria patients. Antimicrobial agents and chemotherapy

Amani Alahmadi, Sarah Belet, Andrew Black, Deborah Cromer, Jennifer A Flegg, Thomas House, Pavithra Jayasundara, Jonathan M Keith, James M McCaw, Robert Moss, Joshua V Ross, Freya M Shearer, Sai Thein Than Tun, James Walker, Lisa White, Jason M Whyte, Ada WC Yan, Alexander E Zarebski. (2020). Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges. Epidemics, (32)

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