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Alexander Zarebski

@aezarebski.bsky.social

Senior Research Associate, MRC Biostatistics Unit, University of Cambridge. https://aezarebski.github.io/

60 Followers  |  62 Following  |  15 Posts  |  Joined: 11.08.2023  |  2.0117

Latest posts by aezarebski.bsky.social on Bluesky

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Happy #WorldStatisticsDay2025! πŸŽ‰

At the BSU, you can find a fantastic group of passionate people driven to improve the way we look at scientific problems and design methods to help us understand the deluge of data we are surrounded by.

20.10.2025 10:53 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
01.10.2025 12:26 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thanks again for the invitation and the lively discussion

10.07.2025 07:42 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Sounds like a fun conference, bet there are a ton of great speakers

06.06.2025 12:05 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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SIB Speaker Roadshow Initiative: Alex Zarebski on Narrow AI for Phylodynamics Alex Zarebski from the University of Cambridge will be giving two talks in Switzerland:Β πŸ“ Bern – 31 March at 15:15, at the Institute of Ecology and Evolution of the University of Bern, Baltz...

@aezarebski.bsky.social will give 2 talks in πŸ‡¨πŸ‡­:

πŸ”Ή Bern – 31/3 15:15
πŸ”Ή Basel – 16/4, 11:15

πŸ’‘ Talk: Narrow AI for Phylodynamics

This visit is supported by SIB’s Speaker Roadshow Initiative, which coordinates multiple talks at partner institutions and promotes sustainable travel.

25.03.2025 10:53 β€” πŸ‘ 5    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0

A huge thanks to Louis du Plessis (ETH) and Claudia Bank's lab (UoBern) for this awesome invitation, and the @sib.swiss for their support via the Roadshow Initiative. (Which is really an great idea!)

25.03.2025 13:47 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

We are advertising a PhD position! The project will develop mathematical models for influenza infection within the host, incorporating the effects of antiviral treatment. Domestic and international applicants welcome.

19.02.2025 22:06 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
Qualtrics Survey | Qualtrics Experience Management The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

Lots of studies in epidemiology rely on people being able to assess age of others - please participate in this survey to help get better error models for such data!

warwick.co1.qualtrics.com/jfe/form/SV_...

14.02.2025 14:10 β€” πŸ‘ 8    πŸ” 6    πŸ’¬ 1    πŸ“Œ 1

Side effect of report marking?

11.02.2025 08:42 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Yep, couldn't resist responding with the reverse. Both are interesting reads though.

11.02.2025 08:39 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Including frameworks of public health ethics in computational modelling of infectious disease interventions Decisions on public health interventions to control infectious disease are often informed by computational models. Interpreting the predicted outcomes of a public health decision requires not only hig...

This one is interesting too:

Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections
doi.org/10.48550/arX...

11.02.2025 08:33 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

And a bonus post to share links to my coauthors (because apparently I can't use bluesky search properly...)

@nefeltellioglu.bsky.social who kept this project alive and kicking, and @camzachreson.bsky.social who masterminded it and you should follow if you're interested in this topic.

07.02.2025 12:05 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

While not exhaustive, our results suggest (for COVID-19) outcome equity can co-exist with utilitarian minimization of disease burden. We hope to expand our approach to other public health values (e.g. autonomy, privacy) and other interventions.

I'd love to hear your thoughts! πŸ’¬

06.02.2025 18:00 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

In the aftermath of the COVID-19 pandemic, infectious disease modelling is taking a hard look at health equity. We did this work to help understand the potential impacts of considering equity.

06.02.2025 18:00 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Exploring different weightings on equity and aggregate burden in a model of COVID-19 in Melbourne. We found a trade-off in equity of vaccine-induced burden, and total burden. Importantly, there was no trade-off between total burden and equity of disease burden πŸ’‰

06.02.2025 17:59 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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We considered: total days spent in hospital due to infection, and rare vaccine side effects; how fairly the infection burden shared; and how fairly vaccination burden is shared. The triangle shows possible weightings, much of the literature focuses on aggregate burden.πŸ”¬

06.02.2025 17:59 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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We look at optimizing public health interventions while prioritizing both equity and clinical burden. Basically β€œwhat level of vaccination should you aim for in the different age groups if they have different risk profiles?β€πŸ€’πŸ˜·

06.02.2025 17:58 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
https://doi.org/10.48550/arXiv.2502.00071

A huge thank you to Nefel Tellioglu, Jessica Stockdale, Julie Spencer, Wasiur Rahman Khuda Bukhsh, @joelcmiller.bsky.social and Cameron Zachreson for including me on this @matrix-inst.bsky.social project we just preprinted results from

t.co/9ioaiNWMQa πŸ€“

06.02.2025 17:57 β€” πŸ‘ 10    πŸ” 8    πŸ’¬ 1    πŸ“Œ 0
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Details : Research Fellow in Multiscale Mathematical Modelling of Cell Biology : The University of Melbourne Careers at The University of Melbourne

[Please share] We're hiring a postdoc in Mathematical Biology at The University of Melbourne! Come and work with us on a collaborative project looking at how to predict biological behaviour across multiple scales. Feel free to reach out, details are here: jobs.unimelb.edu.au/en/job/91913...

24.01.2025 04:17 β€” πŸ‘ 9    πŸ” 5    πŸ’¬ 0    πŸ“Œ 2

@gerrythill.bsky.social you're such a trend setter!

11.08.2023 21:53 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@aezarebski is following 20 prominent accounts