Sitemap - 2022 - Scaling Biotech
Treat the problem, not the symptom
Collect data as far upstream as possible
Don't make yourself a decision bottleneck either
Don’t make yourself a communication bottleneck
Collaboration over technical excellence
The primary measure of progress
Don't stop at technical objectives
Biology software is bad because biologists like bad software
Case Study 2: Digital to Wet Lab (Part 4)
Case Study 2: Digital to Wet Lab (Part 3)
Cast Study 2: Digital to Wet Lab (part 2)
Case Study 2: Digital to Wet Lab (Part 1)
Case Study: A Wet Lab to Digital Pipeline (Part 3)
Case study: A Wet Lab to Digital Pipeline (Part 2)
Case study: A Wet Lab to Digital Pipeline (Part 1)
Going Newsletter-only for a while
The right solution isn't always the best solution
Is the best anchor a prototype?
Building Consensus in a Biotech Organization
Framing Change, Finding Consensus, Telling Stories
But do they know you know they know?
Why do scientists throw away data?
Python doesn't make a data scientist
ML vs Wet Lab: The Great Impedance Mismatch
Can a biotech really be data driven?
A better ELN won't solve your problems
Bad software is a symptom, not a cause
The four stages of enterprise software
The Giant Hidden Problem Plaguing Tech Biotechs
What are you taking for granted?
(Audio) What are you taking for granted?