Xavier Amatriain — Building AI-powered Primary Care
Xavier shares his experience deploying healthcare models, augmenting primary care with AI, the challenges of "ground truth" in medicine, and robustness in ML.
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Xavier Amatriain is co-founder and CTO of Curai, an ML-based primary care chat system. Previously, he was VP of Engineering at Quora, and Research/Engineering Director at Neflix, where he started and led the Algorithms team responsible for Netflix's recommendation systems.
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⏳ Timestamps:
0:00 Sneak peak, intro
0:49 What is Curai?
5:48 The role of AI within Curai
8:44 Why Curai keeps humans in the loop
15:00 Measuring diagnostic accuracy
18:53 Patient safety
22:39 Different types of models at Curai
25:42 Using GPT-3 to generate training data
32:13 How Curai monitors and debugs models
35:19 Model explainability
39:27 Robustness in ML
45:52 Connecting metrics to impact
49:32 Outro
🌟 Show notes:
- http://wandb.me/gd-xavier-amatriain
- Transcription of the episode
- Links to papers, projects, and people
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Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai, whose goal is to make healthcare accessible and scaleable while bringing down costs. In our conversation, we touch on the shortcomings of traditional primary care, and how Curai fills that role, and some of the unique challenges his team faces in applying ML in the healthcare space. We also discuss the use of expert systems, how they train them, and how NLP projects like BERT and GPT-2 fit into what they’re building.
Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3
My guest this time is Xavier Amatriain. Xavier is a former researcher who went on to lead the machine learning recommendations team at Netflix, and is now the vice president of engineering at Quora, the Q&A site. We spend quite a bit of time digging into each of these experiences in the interview. Here are just a few of the things we cover in our discussion: Why Netflix invested $1 million in the Netflix Prize, but didn’t use the winning solution; What goes into engineering practical machine learning systems; The problem Xavier has with the deep learning hype; And, what the heck is a multi-arm bandit and how can it help us. The notes for this show can be found at https://twimlai.com/talk/3.