Founder @ Bitfount. Formerly, Head of Cambridge, UK Apple team. Building to unlock the value of sensitive data.
Joined April 2014
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Why can’t the iPhone camera app let me leave the torch on? Would make taking pictures of ID so much easier
Who should own medical data? - great question I was asked to talk about at Focus A-Eye. But it's a trick question - there is actually no legal concept of owning medical data. There are really three separate types of law that apply...
3. Clinical context matters: Sharing subsets of data without context loses critical info
4. Risk of re-identification/misuse: Even anonymised data has risk of re-identification
The retroactive part of California’s Billionaire Wealth tax is highlighting a major flaw in the initiative process for adding laws to the ballot: the Attorney General plus one person can basically force massive life choices without a democratic mandate
Here’s how it works…
Not really democratic any more - the AG can single handedly force people to move if there’s any risk the population might vote something through. Critically - they have to make the decision before they know whether there is a democratic mandate.
Blaise Thomson retweeted
We’re excited to announce SIMA — a smarter, faster way to log surgical cases and track training progress. We’re starting with ophthalmology and going live mid-July. Check it out! simasurgery.com
Fun talking today about data sovereignty within clinical trials in LatAm with @Farma_con. Seems like LatAm has a lot of interest in expanding what they do in clinical trials and does seem AI could play a big part!
Blaise Thomson retweeted
The main benefits of the pure python approach came down to data augmentation and being able to change the learning rate for different layers. Those could obviously be added to the no code interface, but would mean a more complex experience. 3/4
Lots of fun presenting our experiments with clinicians doing no code fine tuning using Bitfount, at ARVO with Tahm Spitznagel, Gabor Somfai and team 🧵1/4
The main benefits of the pure python approach came down to data augmentation and being able to change the learning rate for different layers. Those could obviously be added to the no code interface, but would mean a more complex experience. 3/4