1) We are sharing our manuscript identifying that the SARS-CoV-2 receptor ACE2 is an interferon stimulated gene in human upper airway epithelial cells. Results from an amazing team effort: papers.ssrn.com/sol3/papers.cf… (n/16)

Ever used a hierarchical model to estimate a parameter and wondered if you’re actually doing better than a simpler baseline like maximum likelihood? We present a method addressing this question!

Thank you Forbes Under 30! Excited to finally get responses to my cold emails now.

Ever wondered what are the cells in human milk doing? Check out our latest work to find out!! go.nature.com/3IK8VPX Walid Khaled Dept. of Pharmacology, Univ. Cambridge Cambridge Stem Cell Institute Helmholtz Munich | @HelmholtzMunich School of Biological Sciences ISRHML

How can we collect good enough data for machine learning driven protein design? We show that random numbers are part of the picture. Work with the David Baker lab (including Erika Alden DeBenedictis ) and MSRNE (with Kevin K. Yang 楊凱筌 and Lorin Crawford ). (1/4) biorxiv.org/content/10.110…

Britt is such an amazing mentor and person. Check out this post doc opportunity in her group!

So excited that our longitudinal study of the cells in human breast milk is out this week!

Ellen is amazing — definitely consider joining her group if you can!

Can ML build diverse protein scaffolds around functional motifs? We find equivariant diffusion models and Sequential Monte Carlo may help! Joint work with Jason Yim, and coauthors Doug Tischer, Tamara Broderick, David Baker, Regina Barzilay and Tommi Jaakkola arxiv.org/abs/2206.04119

So excited to share our paper "Genome-wide mapping of somatic mutation rates uncovers drivers of cancer" is out on Nature Biotechnology (and open access)! nature.com/articles/s4158…. Here's a🧵on what we did and what we found!

We’re very happy to announce that our RFdiffusion manuscript is now on bioRxiv! A lot can change in a week - we’ve now tested over a thousand designs and there’s so much exciting new data! 🧵

Can you accurately scan ~10 million drug-target pairs per minute? We think you can! In our new preprint (with Rohit Singh , Lenore Cowen, and Bonnie Berger Lab ), we develop ConPLex, a high-throughput method for predicting drug-target interaction (DTI). biorxiv.org/content/10.110… 🧵

I am excited to share the preprint of my first postdoc paper (with Ran Blekhman Frank Albert @DemerathE), “Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome” !!! biorxiv.org/content/10.110… This project began…

Do you wish you could continually monitor your uterine health? I am helping to scope a women's health monitoring research project! Input from possible users would be incredibly valuable to us. Please fill out this anonymous survey, thank you! forms.gle/riHkpvZpEexr6X…

Thank you so much for hosting me! What a great day of milk discussions and San Diego sunshine!

Do you want to work as part of a large collaborative team to drive innovation in #computational drug discovery? My lab is looking for a talented #Postdoc to lead efforts to do this! Please apply here (apply.interfolio.com/136977)! Compensation is well above the national average.

I vote for Rice University’s "GenomeAssemblyInAWeek" #Innov8POWER8 project. Cast your vote: ibm.co/1zc4v8z

Overpruning in Variational Bayesian Neural Networks. (arXiv:1801.06230v1 [stat.ML]) ift.tt/2Dn0MQg

Conditional Density Estimation with Bayesian Normalising Flows. (arXiv:1802.04908v1 [stat.ML]) ift.tt/2EtOxpo