New story about some Dash-ing scientific research 🔬 by Max W. Shen: buff.ly/2Ayqscm. Using Dash in your research? We want to hear about it 👉 buff.ly/2TZmW3D.

Our study has been published in Cell! With my experimental co-first author, we characterized base editing at scale and developed deep conditional autoregressive models (ala Wavenet) that accurately predict editing patterns. cell.com/cell/fulltext/… crisprbehive.design

I'm finishing my PhD (Massachusetts Institute of Technology (MIT)) soon and actively looking for opportunities. My work uses applied machine learning for scientific discovery and high-impact applications, and I have been fortunate to publish co-first author papers in Nature & Cell. CV @ maxwshen.com

A fun side-project while the lab was shut down: can we use Addgene plasmid requests to measure the impact of #COVID19 on lab research around the world? Kudos to graduate students Max W. Shen and Alvin Hsu for performing the analysis, and thank you Addgene for posting the results.

Thank you Cell for featuring my co-first author study on base editing and machine learning in the current issue -- the cover is pixel art I designed :) cell.com/cell/issue?pii…

Thank you Cell Mentor for talking with me about my recent cover art for Cell for our BE-Hive paper! -- How to turn your research discovery into an eye-catching piece of cover art crosstalk.cell.com/blog/how-to-tu…

My thoughts on AlphaFold2: moalquraishi.wordpress.com/2020/12/08/alp…

Excited that this study, for which I led the machine learning aspect, has been published! This was a highly collaborative project with fellow co-first authors Luke Koblan, Mandana Arbab

Today we report in Nature Chemical Biology Evoracle, a machine learning method that reconstructs full-length genotypes and fitnesses using short-read sequencing data from laboratory evolution experiments. Validated on PACE, PANCE, & Orthorep of Cry1Ac, ABE, & DHFR. 1/3 drive.google.com/file/d/1-Pudx8…

Humbled to be selected for the Forbes 30 under 30 in Science! forbes.com/30-under-30/20…

I am hiring for a pure ML research scientist role: 80% publishing with complete research freedom, 20% consulting and collaborating on applied ML, in a legendary biotech company with a vibrant scientific environment and academia-like culture. careers.gene.com/us/en/job/GENE….

Join us at Genentech in a unique Research Scientist , Machine Learning role: 80% research freedom, 20% applied! Drive your own research agenda, collaborate with academia, and build your own group. Find me at #ICML2022 - very happy to chat! roche.wd3.myworkdayjobs-impl.com/ROG-A2O-GENE/j…

In capitalism, narrow AI may be the greatest threat to AGI. argmax.ghost.io/on-creating-ag…

argmax.blog/posts/data-two… What is data? The classical and postmodern views

argmax.blog/posts/deep-ret… The deep retrieval + remix hypothesis