Projects
Advanced Statistics & Machine Learning for Health Research
Open online course
An interactive textbook covering statistical and machine learning methods for health research — from probability and inference through Bayesian methods, clinical prediction models, and causal inference. Includes code examples in both R and Python, exercises, and applied case studies. Hosted on GitHub.
The Trajectory of Discovery
What Determines the Rate and Direction of Medical
Progress?
Mark P. Khurana, University of
Copenhagen
Published April 2023 • ISBN: 9781009354431
In this book, I explore why medical research progresses in the way it does — shaped by incentives, institutions, and choices about which scientific paths to follow. I bring together perspectives from policy, economics, sociology, and philosophy to explain both the rate and direction of discovery. I also reflect on challenges such as flawed incentive structures, lobbying, and the lack of novelty in drug development, while offering ideas for improving how we pursue progress in medicine.
A Byte of Health
Health newsletter
Together with colleagues, I co-author A Byte of Health, a biweekly newsletter that curates the latest breakthroughs in health and life science. We cover everything from AI models predicting disease decades in advance to new approaches in cancer treatment, neuroscience, and global health.
Untold Health
Podcast
I hosted Untold Health from 2019-2023, a podcast dedicated to exploring important but often overlooked issues in health. Through conversations and stories from Ukraine to India, I brought forward the hidden dynamics of health policy, medicine, and society.