Neil Tenenholtz (@ntenenz) 's Twitter Profile
Neil Tenenholtz

@ntenenz

ML for biology / healthcare at MSR

ID: 4910385358

calendar_today14-02-2016 20:32:40

1,1K Tweet

887 Followers

886 Following

Lorin Crawford (@lorin_crawford) 's Twitter Profile Photo

If you have time, check out Chib’s new work presenting a method aiming to unify clustering and marker gene selection in single cell analyses! Super fun working on this with colleagues across CCMB at Brown, Broad Institute, and Microsoft Research. Thread below 👇

Nicolò Fusi (@nfusi) 's Twitter Profile Photo

We’re excited to share our latest work with Paige on (vision) foundation models of pathology. In this study, we introduce Virchow2 and Virchow2G, significantly increasing the scale of our previous work both in terms of data and parameters, with Virchow 2G reaching 1.85B

We’re excited to share our latest work with <a href="/paige_ai/">Paige</a>  on (vision) foundation models of pathology. In this study, we introduce Virchow2 and Virchow2G, significantly increasing the scale of our previous work both in terms of data and parameters, with Virchow 2G reaching 1.85B
Neil Tenenholtz (@ntenenz) 's Twitter Profile Photo

Kinda wild how much excitement there is for Conference on Language Modeling, a conference never before held. Says a lot about the demand for more focused, intimate venues. Bravo to the organizers. 🦙🦙

Alessandro Sordoni (@murefil) 's Twitter Profile Photo

We are hiring for a Principal ML Engineer! Come work with us on scaling projects around reasoning, interaction, modularity, bio-ml, and more.. Montreal lab 🍁🌨️: jobs.careers.microsoft.com/global/en/job/… NYC 🏥/ New England ⛴️ labs: jobs.careers.microsoft.com/global/en/job/… 1/2

Alessandro Sordoni (@murefil) 's Twitter Profile Photo

The ML team at Microsoft Research Montréal 🍁 is hiring a Senior Researcher with a background in ML / NLP!!! Come work with us at the intersection of interactivity, modularity and reasoning in foundation models 😊 MSR is a highly collaborative environment where risky ideas are

Ava Amini (@avapamini) 's Twitter Profile Photo

wet-lab validation of proteins designed by EvoDiff! - generated proteins express and are structured - inpainted, disordered mitochondrial targeting signals function in yeast - sequence-space motif scaffolding designs functional binders to Ca2+, MDM2 biorxiv.org/content/10.110…

wet-lab validation of proteins designed by EvoDiff! 

- generated proteins express and are structured
- inpainted, disordered mitochondrial targeting signals function in yeast
- sequence-space motif scaffolding designs functional binders to Ca2+, MDM2

biorxiv.org/content/10.110…
Alessandro Sordoni (@murefil) 's Twitter Profile Photo

We have few intern positions open in our ML team @ MSR Montreal, come work with Marc-Alexandre Côté Minseon Kim Lucas Caccia Matheus Pereira Eric Xingdi Yuan on reasoning, interactive envs/coding and LLM modularization.. 🤯 Matheus Pereira and I will also be at #NeurIPS2024 so we can chat about this

Konstantin Klemmer (@kklmmr) 's Twitter Profile Photo

Happy to announce that I have started a new role as Research Scientist @ MSR! 🎉🚀 My team is hiring for full-time & internship positions. Apply if you are excited about applied AI & real-world challenges 👇 Intern: jobs.careers.microsoft.com/global/en/job/… Full-time: jobs.careers.microsoft.com/global/en/job/…

Dan Goldstein (@dggoldst) 's Twitter Profile Photo

Microsoft's Computational Social Science group may have the opportunity to hire one researcher Senior: 0-3 yrs post PhD jobs.careers.microsoft.com/global/en/job/… Principal: 3+ yrs post PhD jobs.careers.microsoft.com/global/en/job/… Please note: our ability to hire this season is not certain

Carles Domingo-Enrich (@cdomingoenrich) 's Twitter Profile Photo

🚀Excited to open source the code for Adjoint Matching --- as part of a new repo centered around reward fine-tuning via stochastic optimal control! github.com/microsoft/soc-…

Neil Tenenholtz (@ntenenz) 's Twitter Profile Photo

Memory without reasoning is largely search. Reasoning without memory can still make novel conclusions, at the cost of rediscovery. Both are highly valuable, but in terms of incremental value, reasoning likely solves more unmet needs.