🔥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

New from Harvard Data Science Review Early Career Board: Aleks Goeva, Ana Trisovic, K Blu, & I made a zine about Jessica Hullman and Andrew Gelman et al.'s paper "Designing for interactive exploratory data analysis requires theory of graphical inference" Thanks @sarahmirk for the zine tutorial!

Sorry for the delay, all :) now accepting submissions through October 15, 2021, midnight AOE. Can't wait! Please share! openreview.net/group?id=NeurI…

We're very excited for LMRL on Tuesday! Accepted Papers and Posters are online: lmrl.org/papers, lmrl.org/posters (on gathertown). Also check our our day-of of live talks lmrl.org/schedule-2021, and our Contributed Talks youtube.com/playlist?list=… See you soon!

Miri Adler, Noa Moriel, Aleks Goeva, Evan Macosko, Aviv Regev, Ruslan Medzhitov, & Mor Nitzan - Emergence of Division of Labor in Tissues through Cell Interactions and Spatial Cues - how do cells decide what tasks to perform? - youtu.be/MmI7ci_nGzw

LMRL 2022 Call for Paper is up at lmrl.org/submit. LMRL 2022 will be December 9 (virtual NeurIPS workshop). We look forward to seeing you there!

Get ready for the Fall #BroadMIA lineup of #pedagogical #CuttingEdge talks at the interface of #MachineLearning and #biology 👩‍🔬🧬💻🧫👩‍💻

Tune in this morning for Martin Jankowiak’s #BroadMIA talks on Bayesian Variable Selection with exciting #biology applications! Starting in 10 min!

Science is unbearable if you hold off on celebrating until the publication of a big paper. The more we enjoy the process, the happier we are.. Celebrate the interesting group meeting, the preparation of a new presentation, the new technique, & the progress our friends are making.

Just one among many reasons Learning Meaningful Representations of Life is proudly virtual at NeurIPS Conference this year. Submit your abstract by Sep 30, 2022: lmrl.org/submit

So excited for this Wednesday’s #BroadMIA when David Kelley and Carl de Boer will tells us what’s new in using #DeepLearning to understand #GeneRegulation!

Looking forward to my Models, Inference & Algorithms at Broad talk tomorrow, and honoured to be featured alongside David Kelley . Thanks for hosting, Aleks Goeva !

Join my group at Genentech and follow your passion for single-cell tumor dynamics! Both experimental and computational positions available. Apply below: Cancer Single-Cell Genomics: lnkd.in/eR2eCqPd Computational Biology: lnkd.in/e7TeHsXg

So excited for Oana Ursu (@[email protected]) and Charlotte Bunne’s talks this Wednesday at #BroadMIA! Tune in at 9AM EST to learn about computational approaches to study single-cell state transitions and responses to perturbation!

📢 Poster preview kicks off tomorrow at 7:30AM ET and talks follow at 8! Follow live here: lmrl.org. See you soon! #lmrl #NeurIPS2022 #mlbio

MIA Spring ‘23 Speaker Series ⏰ April 5, 9AM EST 💬 Lucy Colwell, Benjamin Sanchez-Lengeling Ben Sanchez-Lengeling 💡Primer: Intro to machine learning for molecules 💡Seminar: ML to predict protein function from sequence ... 📬 Join our mailing list to get the talk link! #BroadMIA

Consider submitting your work to the Machine Learning for Genomics Explorations (MLGenX) workshop at ICLR 2026 ! Join us to unite the worlds of #MachineLearning & #Genomics 🧬 ⏰Submission deadline: February 4, 2024 (AOE).

Interested in uncovering biological processes in single-cell data? Check out SiFT, featured in Nature Communications. SiFT peels off layers of known variability and allows studying previously unexplored bio signals. Try it yourself: sift-sc.readthedocs.io. w/ Mor Nitzan Artwork: Reo F.

We can often reconstruct a certain layer of information from single-cell data, like their spatial configuration or trajectory, but what can we learn when we peel that layer off? What else is encoded? SiFT is out Nature Communications, Led by Zoe Piran nature.com/articles/s4146… Hebrew University