This was bound to happen: An approach developed in 2004 was just referred to as “old school”! #MLCB2024

Gokul Gowri from Wyss Institute proposed latent mutual information (LMI), a new method that exploits underlying low-dimensional structure in high-dimensional data to approximate MI in high-dim settings w/ realistic sample sizes. arxiv.org/abs/2409.02732 #MLCB2024

.Ava Amini gave an expansive talk on generative protein design & introduced EvoDiff, a general-purpose diffusion framework for programmable, sequence-first protein design. 📜 doi.org/10.1101/2023.0… 💻 github.com/microsoft/evod… #MLCB2024

Another fantastic edition of MLCB comes to close! It was fun to meet wonderful folks in the community & learn cool new techniques. Many thanks to the organizers for a great meeting David A Knowles (@davidaknowles.bsky.social) Sara Mostafavi Anshul Kundaje (anshulkundaje@bluesky) Su-In Lee Gerald Quon James Zou!! #MLCB2024

To understand biological processes, spotting patterns in data is crucial. Traditional correlations can miss nonlinear patterns. Milton Pividori, PhD, and Casey Greene, PhD, introduce a not-only-linear coefficient to help. Learn more ️▶️ bit.ly/47oYj6z Via Elsevier | ScienceDirect

Excited to share our latest preprint! With a great team led by Natalie Sauerwald and @avithemicrobe: “Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs.” Our paper sheds light on structures of heterogeneity in autism, and how

Pls share: Our lab is hiring for multiple statistical genetics/genomics roles CU School of Medicine CU Department of Biomedical Informatics (DBMI) CU Anschutz Medical Campus Assistant Research Prof: cu.taleo.net/careersection/… Post-doc: cu.taleo.net/careersection/… Program Manager: cu.taleo.net/careersection/… Reach out for more info!

.CU Postdoc Assoc is celebrating the @NationalPostdoc Appreciation Week 🎊 #NPAW2024 with a myriad of events through the week! At CU Department of Biomedical Informatics (DBMI), on Sep 19 (12–1p MT), I'm offering: Postdoc ergo proper doc, a workshop on planning & executing an effective postdoctoral experience.

Our commentary "A renewed call for open artificial intelligence in biomedicine" is now available as a preprint. We call for sharing training data, code, and model weights in biomedical artificial intelligence research. 1/

🎉 Happy National Postdoc Appreciation Week 🎉 To celebrate, this week's "Bytes to Bedside" seminar features Arjun Krishnan, PhD, who will explore planning and executing an effective postdoc. Thank you, #DBMI postdocs, for your contributions to research and discovery.

🌟Celebrating #WomeninMedicineMonth with Judy Regensteiner, a trailblazer in women's health research! As Director of the Ludeman Family Center, her groundbreaking work and BIRCWH award highlight her commitment to advancing women's health. Thank you for inspiring the next generation!

🙏Thank you, SfN (Society for Neuroscience (SfN)). I am humbled and honored to receive this award, which has recognized many excellent scientists in recent years. Special thanks to my postdoc mentor, Erin (Erin schuman), for the nomination.Max Planck Florida Institute for Neuroscience Max Planck Society

Today, Arjun Krishnan, PhD, joined us for Bytes to Bedside. To celebrate #NPAW2024, he led a workshop offering valuable tips for planning a successful postdoc that emphasized the importance of not putting your life on hold, learning new skills, and following through on projects.

Join us to learn more about the Human Medical Genetics and Genomics PhD Program on October 21!

Have you ever wondered what it takes to complete a postdoc? Arjun Krishnan, PhD, from the @krishnanlab kicked off our Bytes to Bedside Seminar Series with a workshop exploring how to have an effective postdoc. Discover more about his insights ▶️ bit.ly/3Yf5zik

Our preprint 'Chemical Language Model Linker: blending text and molecules with modular adapters' is now out on arXiv, led by Yifan Deng. ChemLML is a method for text-based conditional molecule generation that uses pretrained text models like SciBERT, Galactica, or T5. 1/

Congratulations!!

#ASHG2024 #ASHG24 If you’re interested in effectively reusing public omics data and/or passionate about data discovery, data reuse, metadata, etc., do ping me!

#ASHG24 Interested in comparing & transferring data & knowledge across species for translational biomedicine? This review is for you! We take a deep dive into methods & highlight gaps/challenges. Details on implementation, data, & benchmarks: github.com/krishnanlab/cr…

As a fan of the super The Night Science Podcast (highly recommend it!), I enjoyed listening to the latest episode of another favorite — Work Life — where Adam Grant talks to @nathanmyhrvold about invention & creativity! podcasts.apple.com/us/podcast/wor…