y'all want terry tao to weigh in on o3, all i want is ed witten to tell me what he really thinks about all this nonsense. we are not the same

With the start of my first batch as a visiting partner at Y Combinator, this felt like a good time to write my founder story about our journey at Reverie Labs. It's a bit of a long one. ankitg.me/blog/2025/01/0…

Looking for a PhD position? Interested in precision medicine in COPD and Asthma using single-cell genomics and machine learning? Looking for a good excuse to travel across Europe (and to Australia)? We are looking for PhD candidates! respire-excel.eu/vacancies

Peak lab culture: When a first-author student tells me (their advisor) that the originally designated second author should be co-primary because of their substantial contributions. This has already happened multiple times in my lab. Why is this such a strong indicator of

Announcing the Computational Spatial Biology seminar! With Justin Hong (@justjhong.bsky.social), we’re bringing together researchers at the intersection of AI & spatial biology to share their work. Kicking off April 9th with Yist Yu presenting LUNA! Explore the lineup here: csbseminar.github.io

How can causal machine learning help answer causal questions in single-cell genomics—like how genes interact and influence phenotypes? Our latest Nature Genetics paper explores this challenge, along with approaches to generalizability, interpretability, and modeling cell dynamics.

We're proud to highlight Noetik’s latest research at the AACR Annual Meeting 2025! If you missed our posters at #AACR2025, you can find them here noetik.ai/aacr-2025

Analyzing your single-cell data by mapping to a reference atlas? Then how do you know the mapping actually worked, and you’re not analyzing mapping-induced artifacts? We developed mapQC, a mapping evaluation tool biorxiv.org/content/10.110… from the Fabian Theis lab. Let’s dive in🧵

I'm honoured to join CRUK Cambridge Institute and Cambridge University as a Junior Group Leader of AI for Cancer. My group will focus on reasoning, multimodality, hypothesis-making, and more to decode disease and health. A few positions are opened — consider applying to outsmart cancer together!

started my new job! i will be doing a combination of ml engineering and writing at NOETIK. picture very related tldr: we are building foundation models of tumor microenvironments to: 1. stratify patients into responders/non responders for cancer therapy trials 2. inform

Excited to share that a scaled up version of Gemini DeepThink achieves gold-medal standard at the International Mathematical Olympiad. This result is official, and certified by the IMO organizers. Watch out this space, more to come soon! deepmind.google/discover/blog/…

What xAI researchers see when they run “nvidia-smi”

🛡️How do macrophages tailor their defenses to different pathogens? Our new paper in @CellSystems combines dense multi-omics time series with high‐content CRISPR screens (CROP-seq) to map the regulatory landscape underlying macrophage immune responses. #Immunity #Screening (1/9)

Great company and exciting times! Very proud of the collaboration, the NOETIK team, and the OCTO-Virtual Cell work highlighted here — but it feels like an eternity ago! On to simulating patients and clinical trials. Stay tuned.

CAR T cells showcase the enormous potential of cell therapies, but often fail due to lack of evolutionary optimization. Today in nature, we use #CELLFIE to engineer cell therapies at scale and share the largest resource of CRISPR screens in CAR T cells. nature.com/articles/s4158…

Want your biology AI model to learn spatial relationships? Add images as a modality! scPortrait enables fast, standardized generation and use of single-cell image datasets, powering AI/ML-based discovery. GitHub ⭐️: github.com/MannLabs/scPor… Preprint 📚: biorxiv.org/content/10.110…

GRPO is so far behind the frontier we use GDPR in europe fucking open-source peasants

🚀 Excited to share scPortrait! Led by Sophia Mädler & Niklas Schmacke w/ the Mann lab — a new @scverse tool for standardized single-cell image data. Enables ML-ready extraction, >1B cell processing, cross-omics, & cancer macrophage insights. 🔗 biorxiv.org/content/10.110…

Lucas Atkins This code is extremely dangerous. Here, I improved it.