🧬 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-...

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

📢 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

📊🦠 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.)

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.

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...

✨ 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

The popular story behind one of the most famous maps ever drawn is (partly) a myth www.maps.com/snow-mistake...

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

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...

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...

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...

🚀 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

📢 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!

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.