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Liza Semenova

@liza-semenova.bsky.social
191 followers 267 following 16 posts

Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming: check out my evolving #Numpyro course: elizavetasemenova.github.io/prob-epi 🚀

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Reposted by Liza Semenova
Vianey Leos Barajas @vianeylb.bsky.social · 23/06/2026
Went to StanCon 2 years ago & saw a presentation by @liza-semenova.bsky.social And now, here's our first paper together inspired by that talk, led by mine and Gwen Eadie's PhD student Rodrigo Herrera arxiv.org/abs/2606.22601
arxiv.org
Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models
Gaussian Processes (GPs) are a powerful tool for Bayesian time-series modeling, yet their cubic computational cost remains a severe barrier for application to long, high-cadence datasets in astronomy....
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Liza Semenova @liza-semenova.bsky.social · 04/06/2026
🧬 Hiring! Postdoc in Deep Generative Modelling for Infectious Diseases @imperialcollegeldn.bsky.social @mrc-outbreak.bsky.social. Methods first, Lots of freedom. Background in probab-ML or comp-stat essential. Deadline July 1st. #Hiring #Postdoc #MachineLearning www.imperial.ac.uk/jobs/search-...
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Liza Semenova @liza-semenova.bsky.social · 24/03/2026
Surrogate models are everywhere. Reporting standards are not ⚠️ Our position paper on SMRS was accepted to the #NeurIPS 2025 Position Paper Track (8% acceptance rate). We argue that sharing code is not enough for comparability in scientific ML. #AIforScience #Reproducibility #surrogates
arxiv.org
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era
Surrogate models are widely used to approximate complex systems across science and engineering to reduce computational costs. Despite their widespread adoption, the field lacks standardisation across ...
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Liza Semenova @liza-semenova.bsky.social · 12/01/2026
📢 PhD OPPORTUNITY: closing 18 January Want to do a PhD in applied statistics or epidemiology and qualify for UK home fees? 📅 Applications close in one week. ✏️ Apply here: lnkd.in/ecEvTjjg @imperialcollegeldn.bsky.social @ukhsa.bsky.social @lshtm.bsky.social @mrc-outbreak.bsky.social
lnkd.in
LinkedIn
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Liza Semenova @liza-semenova.bsky.social · 24/11/2025
📊🦠 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.)
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Reposted by Liza Semenova
Luigi Acerbi @lacerbi.bsky.social · 01/10/2025
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.
Amortized ProbML:
Unlocking Probabilistic Machine Learning for Real-world Inference & Design (🇩🇰)
ELLIS UnConference Workshop
Copenhagen | 2 December, 2025
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Reposted by Liza Semenova
Luigi Acerbi @lacerbi.bsky.social · 14/10/2025
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...
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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Liza Semenova @liza-semenova.bsky.social · 23/06/2025
✨ 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
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Reposted by Liza Semenova
Ed Hawkins @edhawkins.org · 27/05/2025
The popular story behind one of the most famous maps ever drawn is (partly) a myth www.maps.com/snow-mistake...
maps.com
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?
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Reposted by Liza Semenova
MRC Centre for Global Infectious Disease Analysis @mrc-outbreak.bsky.social · 04/03/2025
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
youtu.be
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Reposted by Liza Semenova
David Selby @davidselby.bsky.social · 04/03/2025
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...
nature.com
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, ...
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Reposted by Liza Semenova
Tom Churcher @thomaschurcher.bsky.social · 27/02/2025
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...
nytimes.com
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.
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Reposted by Liza Semenova
Andrew Heiss @andrew.heiss.phd · 19/02/2025
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...
andrewheiss.com
How to use a histogram as a legend in {ggplot2} | Andrew Heiss
Land isn’t unemployed—people are. Here’s how to use R, {ggplot2}, {sf}, and {patchwork} to create a histogram legend in a choropleth map to better see the distribution of values.
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Liza Semenova @liza-semenova.bsky.social · 30/01/2025
🚀 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
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Liza Semenova @liza-semenova.bsky.social · 29/12/2024
📢 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 🤝
netsci2025.github.io
International School and Conference on Network Science
June 2nd to 6th 2025, Maastricht, the Netherlands
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Liza Semenova @liza-semenova.bsky.social · 20/12/2024
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!
pnas.org
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...
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Liza Semenova @liza-semenova.bsky.social · 19/12/2024
An enviable institution and group to work in!
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Liza Semenova @liza-semenova.bsky.social · 19/12/2024
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.
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