🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Attending ICML 2024? Join us for an enlightening day of talks, mentorship sessions and networking at the WiML workshop on July 24th! Check out our program: buff.ly/4f3ix9y Let us know if you'll make it by filling the registration form: buff.ly/3WRW8oZ

delighted to have had the opportunity to speak with Julian Anna Nowogrodzki, nature about our recent initiative to develop our own LLMs in-house at Prescient Design and Genentech!

At #ICML2024? 🇦🇹🏔️ Come find us and hear about our latest ML research for drug discovery at Genentech! We'd love to chat with you so feel free to reach out!

I'm hiring! 🎉 Keunwoo Choi and I are looking for ML engineers interested in training & deploying our own in-house LLMs for drug discovery at Prescient Design / Genentech. Apply and feel free to reach out! careers.gene.com/us/en/job/2024…

🎉 We're thrilled to announce an incredible milestone for WiML@NeurIPS2024! This year we received an overwhelming response, doubling last year's submissions. A huge thanks to all the reviewers who volunteered to evaluate these submissions! 🙏 #NeurIPS #machinelearning

#Top4 Natasa Tagasovska presents PropEn on behalf of her team at #MoML2024, a property-enhancement approach that adapts a matching technique from causality/econometrics to improve ML-guided design.

Concept Bottleneck Language Models for Protein Design Prescient Design 1. This paper introduces Concept Bottleneck Protein Language Models (CB-pLMs), a novel architecture for protein language models that integrates human-interpretable concepts, enabling precise control,

⭐ The WiML Workshop 2024 program is live at tinyurl.com/wimlprogram! ⭐ Join us at NeurIPS for inspiring talks, engaging mentorship roundtables, networking sessions, and amazing food! If you plan to attend, fill out the participation form here!: docs.google.com/forms/d/1olp3a….

Research Intern position Prescient Design in Switzerland 🇨🇭💊 join our Frontier Research team in 2025! Apply now or share with anyone who might be interested: roche.wd3.myworkdayjobs.com/roche-ext/job/…

DyAb: Sequence-Based Antibody Design and Property Prediction in a Low-Data Regime 1/ DyAb introduces a deep learning framework for antibody design and property prediction, focusing on low-data regimes common in early-stage biologic drug development. 2/ Unlike traditional models

We are hiring an intern on generative models for proteins for 6-12 months and typically results in publication. Find out what science is like in a bio-ml industry research lab. Bonus: float along the Rhine to work (perfectly normal commute here):tinyurl.com/3x7ef6z5

stay tuned for more proper, detailed and exciting cover of this preprint, but whoa i'm so proud of the team Prescient Design and our achievements on <Lab-in-the-loop therapeutic antibody design with deep learning>!

Lab-in-the-loop therapeutic antibody design At Prescient Design Genentech we have spent 3+ years reimagining drug discovery. We built a machine learning system to design and execute experiments. Here's how it works and what we can do 🧵 1/

Reliable algorithm selection for machine learning-guided design Prescient Design Genentech 1. This paper introduces a novel method for selecting machine learning-guided design algorithms that can reliably generate desired outputs meeting user-defined success criteria, such as

I will be ICLR 2025 in Singapore and I'm looking for a senior ML scientist to join my team Prescient Design Genentech! 🧬 If you have experience & interest in multi-modal biological foundation models and agents for science, reach out and let's meet up! Link to apply 👇

📢 Excited to present our poster at the #ICLR2025 GEMBio Workshop! I'll be introducing TherAbDesign - a novel, sequence-based framework that efficiently optimizes antibodies toward therapeutically relevant biophysical properties. [1/4]

Interpretable Lobsters at #ICLR2025 🦞 🦞 Come by poster #504!

Come say hi at my #AISTATS2025 poster tomorrow! 📍 Poster Session I #83 🕒 Sat, May 3 at 3pm Semiparametric Conformal Prediction uses copulas and the one-step estimator to build efficient conformal sets over multiple response variables. Joint work w/ Rob Tibshirani, Kyunghyun Cho