I am currently a postdoctoral research fellow at the Australian Centre for Health Engagement, Evidence and Values at the University in Wollongong. I work under the project “The algorithm will see you now: ethical, legal and social implications of adopting machine learning systems for diagnosis and screening”, a project led by Prof Stacy Carter and funded by the Australian National Health and Medical Research Council.
| Year | Title | |
|---|---|---|
| 2020 |
Hydroxychloroquine and COVID-19: critiquing the impact of disease public profile on policy and clinical decision-making
Published in Journal of Medical Ethics |
|
| 2020 |
Ethical rationing: Hydroxychloroquine, COVID-19 and the inequality of diseases
Published in Journal of Medical Ethics |
Main project: I am currently a postdoctoral research fellow at the Australian Centre for Health Engagement, Evidence and Values at the University in Wollongong. I work under the project “The algorithm will see you now: ethical, legal and social implications of adopting machine learning systems for diagnosis and screening”, a project led by Prof Stacy Carter and funded by the Australian National Health and Medical Research Council.
Project: COVID-19 Ethics
This project focuses on bioethical issues raised by the COVID-19 pandemic. I have co-authored an article arguing about the concept of disease inequality highlighted by the pandemic. One article is in development investigates the ethical considerations in publicly available guidelines for the allocation of scarce intensive care resources. The latter is supported by the Australian Centre for Health Engagement, Evidence and Values; Australian Alliance for Artificial Intelligence in Healthcare; and Macquarie University Research Centre for Agency, Values and Ethics.
Project: Ethics of cosmetic surgery
The project is borne out of my doctoral thesis (Department of Philosophy, Macquarie University) that investigated the ethical and conceptual considerations in cosmetic surgery's practice of pathologising ugliness. I have published several articles on this topic.
| Degree | Research Title | Advisee | |
|---|---|---|---|
| Doctor of Philosophy | More Heart: Engaging publics in decision-making about machine learning applications in cardiovascular disease screening | Frost, Emma |
| Year | Title | |
|---|---|---|
| 2020 |
Hydroxychloroquine and COVID-19: critiquing the impact of disease public profile on policy and clinical decision-making
Published in Journal of Medical Ethics |
|
| 2020 |
Ethical rationing: Hydroxychloroquine, COVID-19 and the inequality of diseases
Published in Journal of Medical Ethics |
Main project: I am currently a postdoctoral research fellow at the Australian Centre for Health Engagement, Evidence and Values at the University in Wollongong. I work under the project “The algorithm will see you now: ethical, legal and social implications of adopting machine learning systems for diagnosis and screening”, a project led by Prof Stacy Carter and funded by the Australian National Health and Medical Research Council.
Project: COVID-19 Ethics
This project focuses on bioethical issues raised by the COVID-19 pandemic. I have co-authored an article arguing about the concept of disease inequality highlighted by the pandemic. One article is in development investigates the ethical considerations in publicly available guidelines for the allocation of scarce intensive care resources. The latter is supported by the Australian Centre for Health Engagement, Evidence and Values; Australian Alliance for Artificial Intelligence in Healthcare; and Macquarie University Research Centre for Agency, Values and Ethics.
Project: Ethics of cosmetic surgery
The project is borne out of my doctoral thesis (Department of Philosophy, Macquarie University) that investigated the ethical and conceptual considerations in cosmetic surgery's practice of pathologising ugliness. I have published several articles on this topic.
| Degree | Research Title | Advisee | |
|---|---|---|---|
| Doctor of Philosophy | More Heart: Engaging publics in decision-making about machine learning applications in cardiovascular disease screening | Frost, Emma |
