Writing
On the eClinical stack, decentralized trials, and the technologies reshaping clinical development.
A selection of bylined articles and essays — and a Substack profile to follow for what comes next.
Selected writing
Bylined articles in industry trade press and personal essays.
2025
LinkedIn
What Life Sciences Leaders Need to Know About America's AI Action Plan
The White House’s “America’s AI Action Plan” signals a major acceleration in U.S. AI policy — here’s what life-sciences leaders need to know about it.
Read at LinkedIn ↗
LinkedIn
What you need to know about the New FDA Priorities if you work in Clinical Trials
On June 10, 2025 the FDA released “Priorities for a new FDA.” What the new Commissioner’s roadmap means for sponsors and CROs running clinical trials.
Read at LinkedIn ↗
LinkedIn
What Are Digital Clinical Measures and Digital Biomarkers? A Beginner's Guide
A plain-language primer on digital clinical measures, digital biomarkers, and wearables — what they are, how they’re used, and why they matter for research.
Read at LinkedIn ↗
LinkedIn
3 Trending Topics for eCOA in Clinical Trials for 2025
AI is transforming eCOA study builds — faster setups, lower costs, better data. How automation is redefining clinical-trial startup timelines.
Read at LinkedIn ↗
2023
Applied Clinical Trials
Clinical Trial Optionality: Its Reality Is Within Reach
Why ‘optionality’ — not standardization — is the operating model sponsors actually need to build the next generation of trials.
Read at Applied Clinical Trials ↗
LinkedIn
Top 5 Takeaways from FDA's Final Digital Health Technologies (DHT) Guidance for Clinical Trials
In December 2023 the FDA released final guidance on using digital health technologies for remote data capture in clinical trials. Five things sponsors should take away.
Read at LinkedIn ↗
2018
Outsourcing-Pharma
What Apple's Health Records Update Means for the Clinical Trials Industry
An early read on consumer health-data interoperability and what it would (and wouldn’t) actually change for clinical research.
Read at Outsourcing-Pharma ↗
Med-Tech News
Signs of Promise for Medical Device Interoperability
Where standards, vendors, and clinical-research needs were converging — and where they still weren’t.
Read at Med-Tech News ↗
LinkedIn
The “Big Picture” on mHealth Going from Research to Real World
A conversation with The Telegraph about how mHealth tech can help bridge the gap from clinical research to real-world patient care.
Read at LinkedIn ↗
2016
Forbes
Pharma Is Long Due for a Disruption
On why drug development’s pace and economics can’t outrun the cost of the status quo — and what a real disruption looks like from inside.
Read at Forbes ↗
LinkedIn
Pharma Is Long Due For Disruption
There has been a lot of discussion about disruption in pharma lately. With mHealth and offsite patient monitoring, there’s real potential for change to come quickly.
Read at LinkedIn ↗
LinkedIn
Four Ways to Make the Most of Patient Data
Practical guidance for turning patient-generated data from a slide bullet into something operationally useful.
Read at LinkedIn ↗
2015
LinkedIn
Big Pharma — Meet mHealth
How mobile health was about to collide with how the industry actually runs clinical trials.
Read at LinkedIn ↗
LinkedIn
Measuring Quality of Life for Cancer Patients — Where Are We Today?
A look at QoL measurement in oncology trials — what the instruments capture, what they miss, and what mobile and digital open up.
Read at LinkedIn ↗
LinkedIn
BYOD for Clinical Trials, Of Course! Right?
An early case for bring-your-own-device in clinical research — and the operational questions sponsors still need to answer.
Read at LinkedIn ↗
Themes
What I write about.
01
The eClinical Stack
How sponsors connect EDC, eCOA, eSource, ePRO, sensors, and RWD into something operationally real. How the eClinical stack is moving more into the control of sites.
02
Decentralized Clinical Trials
Fifteen years of building the platforms behind DCTs informs a sober view of what works, what was hype, and what comes next.
03
AI in Clinical Development
Separating where AI is genuinely changing trial operations from where it’s still a slide deck waiting for a clinical workflow.
04
Patient-Generated Data
Wearables, sensors, BYOD, ePRO — what the data is actually telling us, and how to make it operationally useful for sponsors.
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