Dylan Qian

@wsj: The world’s top drugmakers—operating globally and mostly headquartered in the U.S., Europe and Japan—booked $68.7 billion in deals from Chinese companies last year, more than tripling the $22.2 billion total of 2024, according to market tracker  DealForma @medra_ai will bring that spend back to the US with its incredible autonomous lab, by helping its partners develop drugs better & faster

@michellearning 🏓🏓🏓

@DylanQian lol can't wait to meet these people when they magically show up monday xD

people who get frustrated at outcomes and immediately channel it into making it better is such a strong signal for hiring esp when they can’t help themselves

@zachmoskow Hybrid cause you’re at Apple full time

Woah! Check this role out. Never seen anything like it. So overt.

@Dalrymple Why can’t China field a decent national soccer team despite having spent billions and billions of dollars on training? It’s cultural

Spent a few days in Seattle and wondered: Why isn't this place New York City? Temperate weather (compared to the East), a big port, plentiful natural resources, big tech sector, etc. Seems the PNW should be a tier A global economic powerhouse.

@michellearning Chat are we cooked? We’ve lost the CEO

@DylanQian lowkey more like Medra Gen Z Slang Class in session, something something goated

Overheard from a group of Medra interns: “Why is being a sweat a bad thing? You have to question all beliefs.” 😆

@michellearning I’ll come in right now if we get skewers

Rule at Medra. If you work weekends you’ll be well fed. Dandelion pastries for breakfast and Fourth of July Chinese bbq for lunch 😋 Science doesn’t stop, neither do we! 🚀

In good company @medra_ai 🦾

@michellearning @DARPA @NVIDIAHealth This is sick!!

The future of bio is powered by faster data Introducing the Medra AI Experimentalist: an agent that turns goals into experimental designs, learns from every result, and develops the next assay Excited to collaborate with @DARPA and @NVIDIAHealth on the future of science

Science is entering a new era - one where AI agents can do scientific work. 🧬 Today NVIDIA is launching the BioNeMo Agent Toolkit - an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry, genomic analysis, and more. (1/2)

Just heard of a startup that spent $100,000 on their launch dinner. Early Amazon used doors as desks to save money, frugality wins and wasting money loses! Early corgi had a free furniture rule and our early engineers spent their work trials collecting furniture from all the startups that went under.

@sdamico Maybe rock ridge market or Berkeley bowl in Oakland?

Where do I buy ostrich eggs in SF

@dioscuri Looks like the next season of squid games

Seriously though, why is there something borderline psychoactive about this specific set of motifs? Why pools? Why no windows? Why the pastel colours? It feels suspiciously like an arbitrary code execution exploit on the human mind.

@unlockscience26 Amazing event! Learned so so much. Thanks so much for hosting @medra_ai and @michellearning

1/ Want to revisit UNLOCK 2026? Sad you couldn’t make it? Good news: the full recap and every session of the sold out day are now public. Highlights and full recordings in 🧵

@BetterCallMedhi Bottleneck is about to be data generation to (1) train the next iteration of models and (2) test all the potential candidates in a lab

okay this one is massive alphafold won the nobel for predicting protein structures & AI has been flooding pharma with thousands of new drug candidates every month but the step right after actually measuring those molecules atom by atom was stuck in 20y software where a PhD spends weeks staring at mass spec readouts to write one report 10x science just cracked it with AI that does the same work in minutes with full explainabilit built by 3 stanford researchers from a nobel lab who lived the bottleneck while studying how cancer dodges the immune system every protein their platform reads becomes a data point in a shared molecular intelligence layer, picture a GPT trained on how drugs actually behave inside real human biology m grounded in experimental data from every pharma on earth in 10y the same stack could compress cancer therapy development from 12y to 18 months, crack neurodegeneration where alzheimer trials have been failing for 30y, let your kid's pediatrician order a personalized antibody the way we order antibiotics today…. builders defining the future of human longevity are the ones stacking AI onto the physical layer of biology where real cures get made

This week was a stacked week. @unlockscience26 and launching ML001- the largest autonomous lab in the US. @medra_ai doesn’t have a marketing or events team. This was built by a 3 person ops team. This is the age of empowered generalists. We’re hiring, DM me.

We have a new writer. And she brings it. Welcome @joliegans to the pages of @corememory. Here's her piece on the most automated bio lab in SF corememory.com/p/a-hundred-ro…