Moneeza Siddiqui

@moneeza-ks.bsky.social

Genetic epidemiologist, diabetes, south Asian diabetes, genomic representation. Read more here: https://www.qmul.ac.uk/ceg/research/global-collaborations-in-genomic-health-research/

On my way to #ESHG2026 and very much looking forward catching up with friends and cool science. I'm traveling with 2 great Phd students that are presenting posters for the very first time. Go and say hello if you have the chance 🧪🧬🔬 Details follow 👇🏼

🚨 NEW COLLECTION! 💡 Submit your research on “The expanding therapeutic landscape of GLP 1 receptor agonists” This Collection calls for papers that investigate the expanding clinical and biological roles of GLP‑1 RAs. http://dlvr.it/TSMMmV #GLP1Agonists

The expanding therapeutic landscape of GLP 1 receptor agonists

This Collection calls for papers that investigate the expanding clinical and biological roles of GLP‑1 RAs. We welcome studies that examine the mechanisms ...

dlvr.it

“You cannot LLM your way into durable domain knowledge, data analysis expertise, or coding ability—these only come through struggle.”

Andrew Heiss@andrew.heiss.phd · 4mo ago

Got to present this early draft paper today at a neat workshop organized by @rohanalexander.bsky.social. It's my attempt to grapple with the need for struggle and friction in learning in a world where LLMs remove all that friction. Read the whole thing at stats.andrewheiss.com/pinky-lychee/

AI for Me, Not (Yet) for Thee? Desirable Difficulties and Deliberate Friction with LLMs

Author: Andrew Heiss

Affiliation: Andrew Young School of Policy Studies, Georgia State University

Latest version: May 1, 2026

Details: This is a short position paper written for the Toronto Data Workshop’s 2nd Colloquium on Applications of AI, “Notes on the Future of Quantitative Social Science,” held at the University of Toronto on May 1, 2026.

Abstract: I am simultaneously a critical skeptic of large language models (LLMs) and their role in the learning process, and a reluctant and wary user of those same tools in my own work. This essay is an attempt to work through this tension by examining how LLM-based tools shape and reshape the foundations of expertise required to use them. If learners can generate working code through a Google search, if they can upload a blank problem set template and get a completed assignment in seconds, and if they can design, carry out, and analyze research projects in minutes, how can they build the expertise that is required to work with LLM output? Relatedly, if experienced researchers spend the bulk of their time reviewing LLM output and not working through code themselves, what happens to their expertise? The answer to these questions, I argue, is to deliberately introduce difficulty and friction in quantitative work, allowing learners to build expertise and helping experienced researchers maintain it.

I have an opening for a staff scientist or bioinformatician in my group at the Sanger Institute (closing date 24 March). Our current projects focus on disentangling rare and common variant contributions to rare neurodevelopmental conditions and to neurodevelopmental and perinatal traits. 1/2

Bioinformatician/Staff Scientist in Medical Genomics

Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenge...

sanger.wd103.myworkdayjobs.com

🔔 Excited to share our preprint from the largest ever exome-wide association study for T2D in South Asians. We make important discoveries implicating the genes HNF4A, GP2, RNF19A in the aetiology of diabetes and metabolic traits in south Asians. 👉 Read it here:

medRxivpreprint@medrxivpreprint.bsky.social · 11mo ago

Exome-wide association study in 54,698 south Asians identifies novel type 2 diabetes associations with RNF19A, HNF4A, and dissects role of coding variants in GP2 and CDKAL1 https://www.medrxiv.org/content/10.1101/2025.09.24.25336527v1

Developing type 2 diabetes young+lean is not as uncommon as it may seem. This phenomenon is more common in people of South Asian and East Asian ancestry, but is observed across populations. Why does this happen, how should we screen and treat young+lean T2D. 👉 Read our paper here: rdcu.be/eH0YR

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The war on science in the US is already having an effect on private sector research like AlphaFold. Bears repeating but the private sector builds on top of things created by academic research for the public good. This hurts everyone.

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🎉 This paper has been a long time and a labour of love (and hardship) for multiple group members, but, finally: we MPRA'ed 25k introgressed variants (Denisovan and Neanderthal) segregating at allele frequencies > 0.15 in humans today to evaluate their potential to regulate gene expression.

bioRxiv Evolutionary Biology@biorxiv-evobio.bsky.social · last yr.

Mapping the gene regulatory landscape of archaic hominin introgression in modern Papuans https://www.biorxiv.org/content/10.1101/2025.05.04.652069v1

British Steel employs 3.6k people. Coventry Uni group, which auditors say may not survive, employs 7.7k. But there is an emergency debate in parliament for British Steel and nothing for the whole HE sector imploding

Peter Tennant@pwgtennant.bsky.social · last yr.

Why is the government and the news so indifferent to the meltdown happening in UK #HigherEd right now? Our universities are the envy of the world. Yet we are at risk of losing a generation of academics and damaging the sector beyond repair.

Celebrating the incredible women of Genes & Health on #InternationalWomensDay 💜 👩‍⚕️ 35,920 women participating in the study 👩‍🔬 15 women working across London, Bradford, Manchester, and Birmingham 🙌 16 women on our Community Advisory Board 👩‍🏫 5 women on the Genes & Health Executive Thank you to all!

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Genes & Health contributed to a major study on heart failure genetics, published in Nature Genetics. Using data from 1.9M individuals, researchers identified 66 genetic loci, including 37 new discoveries. Inclusive research ensures prevention & treatment for all. Read more: lnkd.in/dFmMHfKi

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So delighted to be joining QMUL and Barts at the inaugural Professor of Clinical Epidemiology and Predictive Medicine. One of the most technically advanced and largest NHS Trusts in the country in the culturally richest and most diverse parts of the UK

Queen Mary Faculty of Medicine & Dentistry@qmulfmd.bsky.social · 2y ago

A very warm welcome to Professor @juliahcox.bsky.social who will join @qmul-wiph.bsky.social at the beginning of February as the inaugural Professor of Clinical Epidemiology and Predictive Medicine. We're delighted she's joining our Faculty!

Professor Julia Hippersley-Cox