Liza Semenova
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming: check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
📊🦠 Looking for a #PhD in applied statistics with real-world public-health impact?
Join us at @imperialcollegeldn.bsky.social, collaborating with
@ukhsa.bsky.social
and @lshtm.bsky.social.
Closing date: 18 January.
Reach out to me with any queries ✉️
(Eligibility criteria apply.)
Join us at @imperialcollegeldn.bsky.social, collaborating with
@ukhsa.bsky.social
and @lshtm.bsky.social.
Closing date: 18 January.
Reach out to me with any queries ✉️
(Eligibility criteria apply.)
PhD position (London, UK)
Health analytics and modelling of environmental and personal heat health risks
with Elizaveta Semenova
at Imperial College London
More details: http://iddjobs.org/jobs/2416
Health analytics and modelling of environmental and personal heat health risks
with Elizaveta Semenova
at Imperial College London
More details: http://iddjobs.org/jobs/2416
November 24, 2025 at 6:16 PM
📊🦠 Looking for a #PhD in applied statistics with real-world public-health impact?
Join us at @imperialcollegeldn.bsky.social, collaborating with
@ukhsa.bsky.social
and @lshtm.bsky.social.
Closing date: 18 January.
Reach out to me with any queries ✉️
(Eligibility criteria apply.)
Join us at @imperialcollegeldn.bsky.social, collaborating with
@ukhsa.bsky.social
and @lshtm.bsky.social.
Closing date: 18 January.
Reach out to me with any queries ✉️
(Eligibility criteria apply.)
Reposted by Liza Semenova
Do you like to train neural networks to solve all your nasty probabilistic inference and sequential design problems?
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
October 1, 2025 at 1:57 PM
Do you like to train neural networks to solve all your nasty probabilistic inference and sequential design problems?
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
Reposted by Liza Semenova
Reminder that Amortized inference Workshop submissions at the ELLIS Unconference are still open until **Oct 16, 2025**.
Only a short abstract (½ page), so go ahead!
Workshop: Dec 2, 2025, co-located with EurIPS.
Website: sites.google.com/view/amortiz...
Only a short abstract (½ page), so go ahead!
Workshop: Dec 2, 2025, co-located with EurIPS.
Website: sites.google.com/view/amortiz...
October 14, 2025 at 10:16 AM
Reminder that Amortized inference Workshop submissions at the ELLIS Unconference are still open until **Oct 16, 2025**.
Only a short abstract (½ page), so go ahead!
Workshop: Dec 2, 2025, co-located with EurIPS.
Website: sites.google.com/view/amortiz...
Only a short abstract (½ page), so go ahead!
Workshop: Dec 2, 2025, co-located with EurIPS.
Website: sites.google.com/view/amortiz...
✨ Honourable mention ✨ for the 2025 Best Paper Awards at @facct.bsky.social 🏆
Shu will present on Thursday, 11:45am local time
Full paper: arxiv.org/abs/2406.09496
Shu will present on Thursday, 11:45am local time
Full paper: arxiv.org/abs/2406.09496
🏆 Announcing the #FAccT2025 best paper awards! 🏆
Congratulations to all the authors of the three best papers and three honorable mention papers.
Be sure to check out their presentations at the conference next week!
facct-blog.github.io/2025-06-20/b...
Congratulations to all the authors of the three best papers and three honorable mention papers.
Be sure to check out their presentations at the conference next week!
facct-blog.github.io/2025-06-20/b...
Announcing Best Paper Awards
The Best Paper Award Committee was chaired this year by Alex Chouldechova and included six Area Chairs. The committee selected three papers for the Best Paper Award and recognized three additional pap...
facct-blog.github.io
June 23, 2025 at 6:32 AM
✨ Honourable mention ✨ for the 2025 Best Paper Awards at @facct.bsky.social 🏆
Shu will present on Thursday, 11:45am local time
Full paper: arxiv.org/abs/2406.09496
Shu will present on Thursday, 11:45am local time
Full paper: arxiv.org/abs/2406.09496
Reposted by Liza Semenova
The popular story behind one of the most famous maps ever drawn is (partly) a myth
www.maps.com/snow-mistake...
www.maps.com/snow-mistake...
Snow Mistake: Correcting Myths in the Mapping of Cholera
What if the famous map of Broad Street played no role in determining how cholera spread? Or if John Snow didn't make the storied map?
www.maps.com
May 27, 2025 at 6:53 PM
The popular story behind one of the most famous maps ever drawn is (partly) a myth
www.maps.com/snow-mistake...
www.maps.com/snow-mistake...
Reposted by Liza Semenova
NEW EPISODE #ScienceInContext! This week @eonore.bsky.social speaks with @liza-semenova.bsky.social & Samir Bhatt about #AI & modelling infectious disease outbreaks
👉 How can AI contribute to pandemic preparedness?
👉 Examples of AI in modelling & the Nobel Peace Prize
youtu.be/8D_v7ldBW9k
🧵1/4
👉 How can AI contribute to pandemic preparedness?
👉 Examples of AI in modelling & the Nobel Peace Prize
youtu.be/8D_v7ldBW9k
🧵1/4
youtu.be
March 4, 2025 at 1:45 PM
NEW EPISODE #ScienceInContext! This week @eonore.bsky.social speaks with @liza-semenova.bsky.social & Samir Bhatt about #AI & modelling infectious disease outbreaks
👉 How can AI contribute to pandemic preparedness?
👉 Examples of AI in modelling & the Nobel Peace Prize
youtu.be/8D_v7ldBW9k
🧵1/4
👉 How can AI contribute to pandemic preparedness?
👉 Examples of AI in modelling & the Nobel Peace Prize
youtu.be/8D_v7ldBW9k
🧵1/4
Reposted by Liza Semenova
Thrilled to share our latest publication in @natrevgenet.bsky.social. We explore how deep learning models infused with prior knowledge—biologically-informed neural networks or BINNs—offer better predictive accuracy and interpretability in multi-omics data analysis. www.nature.com/articles/s41...
Beyond the black box with biologically informed neural networks - Nature Reviews Genetics
Biologically informed neural networks promise to lead to more explainable, data-driven discoveries in genomics, drug development and precision medicine. Selby et al. highlight emerging opportunities, ...
www.nature.com
March 4, 2025 at 3:12 PM
Thrilled to share our latest publication in @natrevgenet.bsky.social. We explore how deep learning models infused with prior knowledge—biologically-informed neural networks or BINNs—offer better predictive accuracy and interpretability in multi-omics data analysis. www.nature.com/articles/s41...
Reposted by Liza Semenova
A very sad and counterproductive decision. Aid when you don’t know where diseases are is immensely inefficient. DHS is a vital long-term resource, both in counties with diseases like malaria, but also those finding new global threats. Everyone will be flying blind. www.nytimes.com/2025/02/26/h...
Trump Administration Ends Global Health Research Program
The Demographic and Health Surveys were the only sources of reliable information in many countries on metrics such as mortality, nutrition and education.
www.nytimes.com
February 27, 2025 at 9:51 AM
A very sad and counterproductive decision. Aid when you don’t know where diseases are is immensely inefficient. DHS is a vital long-term resource, both in counties with diseases like malaria, but also those finding new global threats. Everyone will be flying blind. www.nytimes.com/2025/02/26/h...
Reposted by Liza Semenova
I really liked this idea of using a histogram as a legend in a choropleth map (since land isn't unemployed; people are), so I made a little guide to doing it with #rstats, {ggplot2}, and {patchwork}
www.andrewheiss.com/blog/2025/02...
www.andrewheiss.com/blog/2025/02...
February 19, 2025 at 5:58 PM
I really liked this idea of using a histogram as a legend in a choropleth map (since land isn't unemployed; people are), so I made a little guide to doing it with #rstats, {ggplot2}, and {patchwork}
www.andrewheiss.com/blog/2025/02...
www.andrewheiss.com/blog/2025/02...
🚀 𝐏𝐡𝐃 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐚𝐭 𝐈𝐦𝐩𝐞𝐫𝐢𝐚𝐥
Looking for my first PhD student
🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡
Joint with LSHTM & UKHSA
See links below.
📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024
📩 Questions? DM me!
#PhD #HealthEquity #ImperialCollege
Looking for my first PhD student
🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡
Joint with LSHTM & UKHSA
See links below.
📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024
📩 Questions? DM me!
#PhD #HealthEquity #ImperialCollege
January 30, 2025 at 12:01 PM
🚀 𝐏𝐡𝐃 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐚𝐭 𝐈𝐦𝐩𝐞𝐫𝐢𝐚𝐥
Looking for my first PhD student
🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡
Joint with LSHTM & UKHSA
See links below.
📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024
📩 Questions? DM me!
#PhD #HealthEquity #ImperialCollege
Looking for my first PhD student
🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡
Joint with LSHTM & UKHSA
See links below.
📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024
📩 Questions? DM me!
#PhD #HealthEquity #ImperialCollege
📢 Consider submitting your abstract to "The Science of Connections: Urban Mobility and Networks" satellite event at #NetSci2025 (netsci2025.github.io) 🚀
🗓️ Deadline: 31 Jan 2025 🕒
🔗 Details: mobilityhealthnetworks.github.io
❓ With questions, reach out to @smishra.bsky.social, Prateek Bansal, me 🤝
December 29, 2024 at 6:21 AM
📢 Consider submitting your abstract to "The Science of Connections: Urban Mobility and Networks" satellite event at #NetSci2025 (netsci2025.github.io) 🚀
🗓️ Deadline: 31 Jan 2025 🕒
🔗 Details: mobilityhealthnetworks.github.io
❓ With questions, reach out to @smishra.bsky.social, Prateek Bansal, me 🤝
Thrilled to share our new @pnas.org paper using active learning 🤖 to optimise disease testing 🦠 and support public health 🌍.
Press release by @imperialsph.bsky.social: imperial.ac.uk/news/259573/...
Paper: www.pnas.org/doi/10.1073/...
Joint work with some stellar collaborators!
Press release by @imperialsph.bsky.social: imperial.ac.uk/news/259573/...
Paper: www.pnas.org/doi/10.1073/...
Joint work with some stellar collaborators!
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
www.pnas.org
December 20, 2024 at 3:59 PM
Thrilled to share our new @pnas.org paper using active learning 🤖 to optimise disease testing 🦠 and support public health 🌍.
Press release by @imperialsph.bsky.social: imperial.ac.uk/news/259573/...
Paper: www.pnas.org/doi/10.1073/...
Joint work with some stellar collaborators!
Press release by @imperialsph.bsky.social: imperial.ac.uk/news/259573/...
Paper: www.pnas.org/doi/10.1073/...
Joint work with some stellar collaborators!
An enviable institution and group to work in!
Postdoc and doctoral student positions in developing Bayesian methods! The positions are funded by Finnish Center for Artificial Intelligence FCAI and there are many other topics, too, but if you specify me as the preferred supervisor then it's going to be Bayesian. fcai.fi/winter-2025-...
Winter 2025 - Researcher positions in AI and machine learning — FCAI
fcai.fi
December 19, 2024 at 7:45 PM
An enviable institution and group to work in!
If you are interested in doing a #PhD with me at Imperial College London and qualify as a home student, please reach out (before end of 2024)! Potential topics: spatial statistics, applied deep generative models, probabilistic programming and more.
December 19, 2024 at 2:21 PM
If you are interested in doing a #PhD with me at Imperial College London and qualify as a home student, please reach out (before end of 2024)! Potential topics: spatial statistics, applied deep generative models, probabilistic programming and more.