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A great post from Andrew Radin explaining the new Aria Pharmaceuticals brand and the company-wide development that the new name represents! lnkd.in/gJUcnQe

My team at Aria Pharmaceuticals has a highly varied and unique lead #bioinformatician role to help us continue to improve our one-of-a-kind #AI #drugdiscovery platform I'd love to connect with anyone who wants to learn more! lnkd.in/gZdicHSF

I'm excited to get back to in-person talks at the #PDDPSummit in SF! lnkd.in/gQY56bKJ

A nice write-up from BioSpace about the work we're doing at Aria Pharmaceuticals! lnkd.in/g-aMq_XW

I've been pleased to see the conversation about #ai in #drugdiscovery mature recently, and I appreciate Andrew Radin's spot-on take lnkd.in/gyTbD6uG

I'm looking forward to the first in-person presentation in quite some time! lnkd.in/gSFEUXRT

A good article underscoring the role #ai can play as a tool (not the only answer) in #drugdiscovery and #drugdevelopment lnkd.in/ex8qdbSm

I'm looking forward to speaking at and attending the AI in Pharma: Discovery conference - they've put together a great lineup of talks! lnkd.in/gDr62t6t #ai #pharma #drugdiscovery lnkd.in/ghV6r_kV

A great team, working on a very important topic in #healthcare lnkd.in/g-iHxW2t

In #drugdiscovery we hear a lot about how #AI can, with bigger and better #data, find new drugs. I argue that patients will be better served if we, and our AI, instead focused on what we can do with the data we have today lnkd.in/gYD5CamX

Right on time to support my blog post from last week (link below) is news that Genentech is joining the OpenTarget consortium. Great to see! lnkd.in/guVQj8b4 lnkd.in/ggmWzcm5

While #ai can make #drugdiscovery faster and more efficient, to have the biggest impact, and therefore help patients the most, we need to be willing to rethink our processes and approaches. I'm happy to be able to share this and other thoughts in the late…lnkd.in/gT4edEDh

"an important aspect of this is the #AI systems being able to explain their predictions to humans" I couldn't agree more! At least in the AI for Bio portion of AI in #drugdiscovery, interpretable AI is a must! lnkd.in/gCMpVQcB

I always appreciate the seasoned #pharma perspective Mark brings when talking about how #AI can improve modern #drugdiscovery lnkd.in/gMYFV_kc

Familiarity with #AI and especially #multimodal #biomedical #data is quickly becoming necessary for modern disease research, including, but not limited to #drugdiscovery This is a terrific overview of those daunting topics and the…lnkd.in/gTi3gHGs lnkd.in/gNDAqtW4

As an engineer in #AI in #drugdiscovery, you'll never be wrong to complain about the lack of quality data (too noisy! too little!, too unconnected!), but as a field, we must be building AI that can leverage the data we have today.…lnkd.in/g4MmZHii lnkd.in/gd_XT-4T

This is well balanced and realistic summary of lot of what AI is doing on drug discovery right now and what it could do in the future. Recommended reading! lnkd.in/gxWfQQGF

I fully second this recent post from Benchling Generating more #data and developing more sophisticated #AI models will not ensure your #biotech is a success. They may not be flashy buzzwords, but establishing your #dataengineering framework and #datascien…lnkd.in/g3JsDK2Q

I've been diving into some of the more advanced #singlecell #AI approaches recently, and it's super exciting to see two rapidly evolving fields (#LLMs and single cell seq) intersecting, e.g. scBERT and scGPT (links below). But giv…lnkd.in/gsP-epMK lnkd.in/gY7ERzdE