Reshma Mehta

Product Designer & Engineer, Arc Institute, FutureHouse, former Design Partner @ Sutter Hill Ventures, Coursera, and Head of Design @ Snowflake.

[Arc Institute @arcinstitute]

Pre-registration for the 2026 Virtual Cell Challenge opens today. Start building your team and say hello in our Discord. The full competition launches August 20.
https://t.co/wTzlPZcGRK

[Reshma Mehta @ABofC]

@claudeai when oh when will my shared live artifact from cowork propagate code changes to those I've shared with?! they see the latest data but not the latest changes I make!

[Reshma Mehta @ABofC]

@draparente I know your story and it still hurts to read this. You’ve seen a lot of pain.

[Reshma Mehta @ABofC]

@yusufroohani @a_dobin @nick_youngblut @PaulDatlinger @abhinadduri @Mingze7316 @dhruvgautam @beabevi_ I will miss you! It was a pleasure getting to know you and to work with you @yusufroohani

[Reshma Mehta @ABofC]

@benblumenrose Also, it’s been painful to get mocks up in a new project I created to follow the design system I set up (in Claude Design).

[Reshma Mehta @ABofC]

@benblumenrose I’ve been setting up the design system that I created for a product I launched. The first shot was decent but I’ve had to iterate Or rather repeatedly prompt to get it to fix visual and interaction elements

[Reshma Mehta @ABofC]

@dariusdan Hi! I am not consistent with posting but I am constantly designing and building.

[Reshma Mehta @ABofC]

@JacobyBrandon I was asked by a non-designer to do a working session to ideate together on an existing product and highly encouraged to open up figma to design an alternative. I was confused a. being asked to think in figma b. didn't sound like a collaboration. I had to decline.

[Reshma Mehta @ABofC]

@markoilico Thank you!!🙏🏽

[nature @Nature]

This AI model is trained on trillions of DNA letters from organisms across the tree of life

https://t.co/QSG6tKAJeA

[Reshma Mehta @ABofC]

A year ago, I had the opportunity to build Evo Designer as part of my first collaboration with @arcinstitute — a tight partnership with @BrianHie, @garykbrixi, @davey_burke, Rajesh Ilango, and @etowah0 to design the best experience for showcasing the model's capabilities.
Seeing Evo 2 published in Nature today makes it all the more meaningful. 🧬
Try it yourself → https://t.co/dEZ72na3Ok
Tutorial to get started → https://t.co/lwhVk7WCEu

[Reshma Mehta @ABofC]

So proud to have contributed Evo Designer to the Evo 2 ecosystem with @etowah0 and Rajesh Ilango. Check out the tutorial I made to help you get started.

[Patrick Hsu @pdhsu]

We developed Evo Designer to help you get started with Evo right away. This tool enables DNA generation from nucleotide and species prompts. Coding region annotation is provided, with 3D protein visualization (ESMFold) for prokaryotic sequences. Sequences are scored for perplexity and per-nucleotide entropy.

Check out our tutorial here: https://t.co/dx6Ney7QBD

[Patrick Hsu @pdhsu]

We developed Evo Designer to help you get started with Evo right away. This tool enables DNA generation from nucleotide and species prompts. Coding region annotation is provided, with 3D protein visualization (ESMFold) for prokaryotic sequences. Sequences are scored for perplexity and per-nucleotide entropy.

Check out our tutorial here: https://t.co/dx6Ney7QBD

[Arc Institute @arcinstitute]

Evo 2, the largest fully open biological AI model to date, is now published in @Nature.

[Dave Burke @davey_burke]

Virtual cell models need to see a diverse range of cell types dynamically responding to changes to be effective predictors. Excited to announce the Arc–Biohub–Tahoe dataset: 120M+ cells and 225,000 conditions making it 4x larger than Tahoe-100M

[Adam Wathan @adamwathan]

Today is a great day to say thank you to all of the awesome companies that support our work on Tailwind CSS ❤️ Their contributions make an enormous difference.

[Reshma Mehta @ABofC]

@davey_burke Thank you thank you for posting. Beautiful. ❤️

[Arc Institute @arcinstitute]

Thank you to everyone who made the inaugural Virtual Cell Challenge a success.

Over 5,000 participants from 114 countries competed to build AI models that predict cellular responses to genetic perturbations. Today we're announcing the winners and reflecting on what we learned.

[Dave Burke @davey_burke]

The Virtual Cell Challenge's final test set is now available at https://t.co/AQn2Qd4vCG. Final scores will be based on the 100 new perturbations. The 7 day phase is single blind (no score feedback) and uses the latest cell-eval (bugfix'd last Friday). Good luck everyone!

[Reshma Mehta @ABofC]

@omarabudayyeh @Lux_Capital @AnthropicAI @GoogleDeepMind @nvidia @jgooten @davidkmyang If not too late, I’d love to join!