Reflections on the 2024For most of us in biotech, John Hopfield is a name we might remember from grad school for work on enzymes. His theory of kinetic…Oct 14Oct 14
The Unreasonable Effectiveness of Design / Build / TestOver the past year, I’ve been collecting papers with surprising results about the success of machine learning in biology, ones that run…Jul 1Jul 1
Learning from Evolution: Why Protein Language Models WorkOver at the new OpenProtein.ai blog, Tristan Bepler and I wrote about the seemingly mysterious power of Deep Protein Language Models. Not…Mar 20Mar 20
Podcast: Data in BiotechRoss Katz from CorrDyn generously hosted me on the Data in Biotech podcast last week. Over the course of the conversation we discussed:Mar 13Mar 13
The World is not as Digitized as it SeemsConsider a handful of headlines from the two years:Feb 2Feb 2
Big Data:The social contract around big data and information technology is broken.Oct 27, 2023Oct 27, 2023
Big Data: A False PanaceaThe story goes that an angry father confronted Target employees after his daughter was mailed coupons for maternity products unnecessarily…Oct 6, 2023Oct 6, 2023
Software is Management TechnologyMy focus in writing over the past three months has been the interplay between powerful new computational methods, digital technologies, and…Sep 22, 2023Sep 22, 2023
The Age of Engineering BiologyI was on a panel about digitization and the data revolution at the annual Academy of Management meeting last weekend. My co-panelist and I…Aug 15, 2023Aug 15, 2023
Machine Learning as Process EfficiencyThe integration of Machine Learning (ML) into scientific work exists on a continuum between whole-scale replacement of human processes and…Jul 31, 2023Jul 31, 2023
