Chris Lovejoy

I’m a data scientist and medical doctor in London, passionate about scalable impact through technology and education.

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Perspectives and Reflections

Year in Review: 2020

Welcome to my first (formal) year review. I’ve been doing this informally for a while, but this year decided to tidy it up and share in public.I’ll be up-front: This

  • Chris Lovejoy
    Chris Lovejoy
9 min read
Coding

6 Reasons You Should Learn to Code Through Projects - Not Courses

(Or learn anything, for that matter)"WE ONLY KNOW WHAT WE MAKE." - GIAMBATTISTA VICO (PHILOSOPHER)🖥 Why learn to code?Learning to code is a really valuable skill. You can use it to

  • Chris Lovejoy
    Chris Lovejoy
6 min read
Coding

Beginner to Data Scientist in 25 months: Every Project and What I Learnt

Learning to code as a full-time doctor 🩺At the start of 2018, I had recently graduated from medical school. I knew basic web development and not much more.Since mid-2020, I've been working

  • Chris Lovejoy
    Chris Lovejoy
11 min read
Coding

I created my own YouTube algorithm (to stop me wasting time)

Using the YouTube API and Amazon’s AWS Lambda🚀 Escaping the YouTube algorithmI love watching YouTube videos that improve my life in some tangible way. Unfortunately, the YouTube algorithm doesn’t agree. It

  • Chris Lovejoy
    Chris Lovejoy
9 min read
Machine Learning

From Correlation to Causation in Machine Learning: Why and How our AI needs to understand causality

What’s wrong with correlation?In May 2016, the COMPAS algorithm was flagged as being racially biased [1]. This algorithm was used by the US to guide criminal sentencing by predicting likelihood of

  • Chris Lovejoy
    Chris Lovejoy
5 min read
Careers

How I became a Data Scientist during COVID (as a Doctor): 5 takeaways from an unconventional career transition

Background3 years ago, I had just finished medical school and started working full-time as a doctor in the UK’s National Health Service (NHS). Now, I work full-time as a data scientist at

  • Chris Lovejoy
    Chris Lovejoy
8 min read
Machine Learning

Generating Art with Artificial Intelligence

After hearing about the AI technique of 'style transfer', I decided to try my hand at creating art work.The basic idea of style transfer is that you take the style of one

  • Chris Lovejoy
    Chris Lovejoy
2 min read
Machine Learning

Some thoughts on the role of AI in healthcare and whether AI will replace doctors

A couple of weeks ago, we published an article in the British Medical Journal reviewing research papers that evaluated AI algorithms and compared their performance with clinicians. Our main findings in the article

  • Chris Lovejoy
    Chris Lovejoy
9 min read
Coding

Automating my job search with Python (Using BeautifulSoup and Selenium)

This article was also featured at Towards Data Science here.MotivationI’m currently looking for a new data science role, but have found it frustrating that there are so many different websites, which

  • Chris Lovejoy
    Chris Lovejoy
6 min read
Machine Learning

Artificial intelligence in drug discovery

This was originally shared as part of my weekly email newsletter.I’ve written in the past more formally about how AI may impact different medical specialties, from psychiatry through to intensive care.

  • Chris Lovejoy
    Chris Lovejoy
6 min read
Machine Learning

Machine learning in medicine in the 2020s: My thoughts

I wanted to articulate some of my current thoughts on the state of AI in medicine, so I wrote this stream-of-consciousness reflection. It's pretty rough, and not comprehensive, so I may tidy it

  • Chris Lovejoy
    Chris Lovejoy
5 min read
Machine Learning

Predicting Acute Kidney Injury with AI (Research Paper Summary)

A clinically applicable approach to continuous prediction of future acute kidney injury - Tomašev et al., Nature, July 2019Original article: https://www.nature.com/articles/s41586-019-1390-1One-sentence summaryIn this paper, a research group from

  • Chris Lovejoy
    Chris Lovejoy
1 min read
Research Summaries

Predicting Hospital Appointment Attendance using Artificial Intelligence (Research Paper Summary)

Predicting scheduled hospital attendance with artificial intelligence - Amy Nelson et al., April 2019Original article: https://www.nature.com/articles/s41746-019-0103-3#MOESM1One-sentence summaryIn this paper, a research group from UCL trained an AdaBoost

  • Chris Lovejoy
    Chris Lovejoy
1 min read

I'm starting a weekly email newsletter

I've decided to start a weekly email newsletter.Its exact content and theme are not yet tightly defined, but it will broadly be a collection of my experiences as a doctor working in

  • Chris Lovejoy
    Chris Lovejoy
1 min read
Machine Learning

Predicting Hospital No-Shows using Neural Networks [coding exercise]

Approximately 20% of medical appointments that are booked are not attended in the UK. This costs an estimated £1 billion annually. If we were able to predict who might not show up, we

  • Chris Lovejoy
    Chris Lovejoy
7 min read
Machine Learning

Classifying breast cancer with machine learning [Introductory coding exercise]

This exercise takes you through the process of training a neural network to classify pathology slides from lymph node samples as malignant vs benign, based on the features of the images.The exercise

  • Chris Lovejoy
    Chris Lovejoy
1 min read
Machine Learning

How might you use machine learning in a medical career?

If you're a healthcare professional with an interest in machine learning (ML), but unsure how can combine it with your career, then we hope you'll find this post useful.The most common ways

  • Christopher Lovejoy
4 min read
Machine Learning

How to find local medical AI projects to get involved with

The last several years have seen a huge surge in amount of funding going into, and research papers coming out of, groups working on artificial intelligence in healthcare. Many new research groups are

  • Christopher Lovejoy
2 min read
Machine Learning

Understanding Machine Learning in Medicine: An Introductory Webinar

We live-streamed a one-hour webinar, covering some of the fundamental principles of machine learning and its application in healthcare. Here's a recording of it.It is aimed at all medical professionals (doctors, medical

  • Christopher Lovejoy
1 min read
Research Summaries

Distinguishing cancerous from non-cancerous skin lesions (Research Paper Summary)

Dermatologist-level classification of skin cancer with deep neural networks - Esteva et al., Nature, Jan 2017Original article: https://www.nature.com/articles/nature21056NOTE: This is one of the earliest, and most cited, articles

  • Christopher Lovejoy
1 min read
Research Summaries

Key research papers in medical AI - read these first

We will continue to update this post as new articles are published.Last updated: 14th October 2019This is an extremely active research field, with new papers published regularly. Here we mention some of

  • Christopher Lovejoy
1 min read
Research Summaries

Recommending doses of IV fluids and vasopressor in sepsis (Research Paper Summary)

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. - Komorowski et al., Nature Medicine, Nov 2018Original article: https://www.ncbi.nlm.nih.gov/pubmed/30349085 One-sentence summaryIn this

  • Christopher Lovejoy
1 min read
Research Summaries

Automatically diagnosing retinal disease from eye scans (Research Paper Summary)

Clinically applicable deep learning for diagnosis and referral in retinal disease - De Fauw et al., Nature Medicine, Aug 2018Original article: https://www.nature.com/articles/s41591-018-0107-6One-sentence summaryIn this paper, a research group

  • Christopher Lovejoy
2 min read
Machine Learning

Why should doctors understand machine learning?

We are seeing increasing use of, and discussion about, artificial intelligence (AI) and machine learning (ML) across all sectors; healthcare included. Greater volumes of data, improved computing power and break-throughs in machine learning

  • Christopher Lovejoy
3 min read
Machine Learning

UK healthcare AI companies to be aware of

Last updated: 11th October 2019It’s useful to be aware of companies working in the healthcare AI space, whether it’s to understand the current state-of-affairs, to look for internships, future places to

  • Christopher Lovejoy
5 min read
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