I am currently a PhD student in the Tufts Security & Privacy Lab studying computer science, specifically usable security and medical devices. My overarching goal is to develop technology and data-driven processes & tools that protect healthcare systems and allow clinicians, researchers, and other healthcare workers to focus on delivering care to patients.

I have worked as a data engineer, analyst, and consultant helping organisations unlock the value of data and technology. The common theme in my career has been about helping people leverage the power of technology, from securing medical devices, to informing investment decisions based on data driven evidence, to providing threat information to warfighters.

Research Interests

My research is focused on how medical devices are secured, both pre-market and post-market, as well as how hospitals can effectively defend themselves. When I worked on Wall St I was covering healthcare companies that underwent security incidents, and it started to turn the cogs in my head about ways to address this issue. Both medical device makers and healthcare delivery organizations are facing numerous difficult challenges, why should security be one of them? My goal is to make sure clinicians, manufacturers, and everyone in between can focus on delivery the best care possible. I'm focused on two specific research questions:

How medical devices are secured during development and in clinical settings
- How can threat modeling be tailored for medical devices?
- How to evaluate a threat model's effectiveness at reducing risk?
- What tools exist or can be developed to allow threat modeling to be more readily integrated into the medical device development lifecycle? Can this integration feed into other aspects of security such as SBOMs?
- How can hospitals more readily defend their networks and protect devices?
How to communicate & minimize the effects of security incidents as it relates to healthcare
- How do hospitals respond to security incidents?
- What are effective methods to communicate security risk to patients?

You can think of my research as managment consulting that is focused on one small population, medical device security professionals (whether manufacturers or hospital IT). I use theories from organizational psychology, to applied behavioral psychology, to human-computer interaction and apply them to cybersecurity problems related to medical devices.

A Brief History of Time

Before Tufts, I wore a number of different hats in a vareity of industries. I've spent the past decade working in various positions related to behavioral science. I have experience in capital markets, defense, and politics. Some highlights include: co-founding a startup that developed technology for Army Special Forces, studying portfolio manager behavior at a prominent hedge fund (before joining a portfolio team), helping political campaigns with digital analytics, and coordinating the cybersecurity for a presidential campaign.

I was born in New York City, but grew up in London. My undergraduate degree was in Government with a focus in International Financial Regulation from Georgetown; I looked at the implementation of Basel II/III in the EU and proliferation of US orginated instruments in the European debt market.

Since leaving politics as a job, I have continued to stay active in civic affairs and I have worked as a poll worker for a number of election cycles. I enjoy getting outdoors and going on unique adventures! Some highlights include: doing an ice skating marathon in Finland twice, winning the Hoffman Trophy at Intercollegiate Offshore Regatta my senior year of college, and backpacking two sections of the Appalachian Trail. I also take a very data driven approach to my athletic endeavors, and you can find me many nights tinkering away with various recommendation engines I've built to help me optimize my training.



Medical Device Security

Healthcare Delivery Organization Security

Other Publications:

Non-Academic Publications

59 Percent Likely Hostile - War on the Rocks

Article on the need to educate warfighters on probability and provide front-line AI support as more data driven technologies are deployed in military contexts. This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work.

AI for Drug Discovery - Back Bay Life Science Advisors

Article coming soon Whitepaper on how artificial intelligence is currently being used for drug discovery and an overview of the financing landscape.

Research Talks

  • Ransomware & Hospitals: What cybersecurity incidents mean for patient care
    • Georgetown University, School of Nursing - Summer 2022

Industry Talks

Medical Device Threat Modeling Study

Health Sector Coordinating Council - January 2022