Georgia Tomova
@georgiatomova.bsky.social
Research Fellow at @clscohorts.bsky.social epidemiology, causal inference, methods, meta-science Subscribe to the Causal Inference Interest Group: https://ciig-seminar.github.io
📣 Job alert: We are looking for a PhD Candidate in causal inference & health data science🔎 📍 Berlin (Responsible Health Data Analysis Team, BIH-QUEST) 📅 Starting: Oct 1, 2026 (3 years) 💼 100% E13 position 🔗 Read more and apply (deadline Aug 17): karriere.charite.de/en/job-vacan... Please share!
PhD Candidate (all genders) BIH QUEST Center (Team “Responsible Health Data Analysis”)
full-time | 17.08.2026 | BIH Berlin Mitte
karriere.charite.de
There is a major problem with how applied health (equity) researchers think about covariate control. I often read research papers where the paper is trying to answer an important question....But the adjustment set doesn't make sense. #episky 1/3
I think one of the most underrated skills of a good PhD supervisor is actively teaching you the hidden curriculum in academia.
New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >
Academia is like constantly playing the final level of those games where you run a restaurant and you have 50 burgers to make and you don't manage to serve anyone before their patience depletes.
“Descriptive” is a property of the research question, not the perceived quality of the results. I often see people state a study limitation and then say “therefore the results are descriptive”. You can’t do an analysis first and then use the results to define what type of study you wanted.
Why is LinkedIn booming and how did we let the cringiest social media platform win?
This game is everything a World Cup match should be. Wow.
I couldn't leave the USA without giving my DAG talk one last time! Come and join my 'farewell lecture' in New Haven (or online!) on 15th July at 4pm Eastern Time! Sign-up to attend in-person or online at: yale.zoom.us/webinar/regi...
New paper out now! We (w/ @rmcelreath.bsky.social and @gregork.bsky.social) start from the observation that among adolescents in Leipzig, the gender gap in life satisfaction has doubled over time and ask: why?> link.springer.com/article/10.1...
Don’t miss this talk by @hjhansford.bsky.social on the need for and the story behind TARGET, the relevance of which is only increasing as more and more researchers are emulating target trials in observational data (or, as Harrison puts it, “claim” to be emulating target trials) 👇🏻
Georgia Tomova@georgiatomova.bsky.social · 2mo agoIn our next seminar, Harrison Hansford will talk about the key reporting components of the TARGET guidelines, how TARGET was developed, and what comes next to improve both the reporting and conduct of studies that (claim to) emulate a target trial. 👉🏼 Register here: ucl.zoom.us/meeting/regi...
Staying in the conference hotel = easy access to naps
"Life is more than work" A phenomenal and moving presidential address from @societyforepi.bsky.social Wendy Nembhard 🥺 #SER2026
In this day and age, the first two comments by the reviewers should disqualify their reviews.
Georgia Tomova@georgiatomova.bsky.social · last mo.Just got the following "advice" from the panel regarding my rejected funding application for a causal inference study in observational data 🙂🔫 - present results as correlational rather than causal - avoid causal language - recognise confounding and selection ...and more. It's the full bingo card!
Science advances one retirement at a time, hopefully.
Georgia Tomova@georgiatomova.bsky.social · last mo.Just got the following "advice" from the panel regarding my rejected funding application for a causal inference study in observational data 🙂🔫 - present results as correlational rather than causal - avoid causal language - recognise confounding and selection ...and more. It's the full bingo card!
Just got the following "advice" from the panel regarding my rejected funding application for a causal inference study in observational data 🙂🔫 - present results as correlational rather than causal - avoid causal language - recognise confounding and selection ...and more. It's the full bingo card!
In our next seminar, Harrison Hansford will talk about the key reporting components of the TARGET guidelines, how TARGET was developed, and what comes next to improve both the reporting and conduct of studies that (claim to) emulate a target trial. 👉🏼 Register here: ucl.zoom.us/meeting/regi...
Every UK Epi/biostats job: We seek a highly-motivated, world-leading expert in machine learning, causal inference, & linked EHR data to work on the NIHR SHITE study, our unique cohort of people aged 25-34 with IBS. You must have experience of working with linked IBS EHR data of people aged 25-34.
Arent the current public, easy to use chatbot solution way too flattering and praising for real critical discourse? Can be done with the underlying models, but we need a specialized tool for that
Are LLMs ever compatible with slow science? Even if they aren’t used to necessarily “produce more”, don’t they remove the friction that would normally make us stop, think, and slowly figure things out? And isn’t slow science mostly about taking the time to think?
Interested in doing a PhD with me in epidemiology on causal inference and triangulation? In beautiful Rotterdam no less. www.werkenbijerasmusmc.nl/en/vacancy/1... Pro tip: if you get to the interview stage, there WILL be a question about ice hockey
Vacature: PhD student in epidemiology to develop and apply causal triangulation
Many key questions in epidemiology are fundamentally causal. Yet, we often have to rely on assumptions that cannot be directly verified to judge whether an observed association truly reflects causalit...
werkenbijerasmusmc.nl
Short story about statistical modeling without causal inference gone badly wrong. Just head on the news that preschoolers play 15 minutes less on rainy days. The reporting stressed that the research was "associational" and therefore couldn't tell us why. Huh? 1/
The youngest subscriber to the Causal Inference Interest Group 🥹
Julia M. Rohrer@dingdingpeng.the100.ci · 2mo agoThis was too much math for Emmy. Or maybe the fact that she nursed through the first half of the talk put her to sleep? More research is needed.
Now that's what I call a spicy opeing: Understanding mechanisms is not a research question.
Georgia Tomova@georgiatomova.bsky.social · 3mo agoWhy we should rethink causal mediation, and what to do instead? Come to hear the answer from Vanessa Didelez at the next CIIG seminar! The seminar will be hybrid. If you are in London, come join us in person at UCL! Otherwise, you can join on Zoom as usual. Registration links in comment below.
