Reach New Heights in Healthcare with Privacy-Preserving Computation

Become the expert of tomorrow.

Enroll in our online, on-demand Privacy-Preserving Computation course to join your fellow visionaries at the forefront of data-driven healthcare.

  • - Encryption Techniques: Dive into the world of homomorphic encryption, secure multi-party computation, and more

    - Practical Applications: Explore real-world scenarios in healthcare, where privacy-preserving computation is essential

    - Future-Ready Expertise: Equip yourself with the knowledge that organizations are actively seeking to protect sensitive data

    - Foundational knowledge: Learn key requirements to pave the path toward multi-party computation

  • - Expert Instructors: Learn from industry-leading experts who bring real-world insights to the classroom

    - Flexible Learning: Access course materials and engage with instructors and peers from anywhere in the world

    - Cutting-Edge Curriculum: Stay at the forefront of data security with the latest techniques and tools

Maximize your healthcare data utility.

Analytics is the bare minimum. Collaboration is the cutting edge.

It starts with privacy-preserving computation.

Choose Your Adventure

1 Month Access

$59

One Time


  • 1 Month Unlimited Access

12 Months Access

$599

One Time


  • 12 Months Unlimited Access

  • One 45-minute Consulting Call

For the Enterprise

One Time

$12,500


  • 12 Months Unlimited Access

  • A 60-minute Consulting Call Each Month

  • Expanded Consulting Options

What is privacy-preserving computation?

Privacy-preserving computation refers to methods that employ encryption to prevent the exposure of sensitive information during analysis. It enables the merging of regulated datasets that are normally firewalled for regulatory compliance.

Meet Your Instructors

Nadia Bodkin, PharmD, MS

Nadia spearheads RAM (Rare Advocacy Movement), focusing on the well-being of the rare disease community. Her initiatives are driven by a commitment to efficient, accurate diagnostics and the ethical use of patient data.

Kat Kuzmeskas, MPH

Kat is the founder of Tamarin Health, which aims to unlock inaccessible healthcare data with its scalable privacy-preserving computation platform, and she has spent two decades leveraging data for strategic growth across healthcare settings, including Yale New Haven Health.

Elle Park, MMR

Elle founded Allspark Health, a computational insights company committed to facilitating innovative data partnerships and delivering previously unattainable answers. Her mission is to pioneer ground-breaking, sustainable, patient-respecting collaborations for the mutual benefit of all partners.

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