Business Analytics
Digital Health
Financial Modeling
Longevity Economy
Information Systems
Business Model Innovation
Digitalization
Wasu is a doctoral researcher specializing in the healthcare market, focusing on business model innovation through digital health technologies. His work explores how these technologies drive proactive care, identify unmet needs in the longevity sector, and create scalable business models for disease prevention.
Previously, he was an engineer at Bosch, overseeing preventative quality in series production. He holds a B.Eng. in Medical Robotics, an MSc in Computational Sciences, and an MBA in Digitalization.
Currently, he leads research projects in healthcare innovation, applying unsupervised learning methods on value proposition design and financial modeling for digital health ventures.
Representer: Operations Management
The EDEN project investigates how digital health technologies (DHTs) can be strategically deployed to scale preventive care—particularly for type 2 diabetes—across health systems. Our focus is on uncovering structural, financial, and regulatory barriers to implementation and using novel business model approaches to overcome these. We work closely with health service providers, insurers, investors, and technology partners to design, evaluate, and de-risk digital prevention solutions.
Using a mixed-methods design, we integrate empirical data collection—via surveys, interviews, and expert panels—with secondary analyses of scientific literature, startup data (e.g. PitchBook, Crunchbase), and financial benchmarks. Our research advances a new generation of prevention-first business models designed to activate stakeholder incentives, reduce misalignment, and embed digital tools into long-term care pathways.
The core of EDEN includes:
Theoretical and computational modeling using Herzlinger’s Six-Factor Framework, the e3-Value method, and our proprietary EDEN platform (RAG-enabled incentive mapping).
Financial viability assessments including breakeven, discounted cash flow, and scalability modeling tailored for Swiss market.
Natural Language Processing techniques such as topic modeling and stakeholder proposition alignment to identify emerging value pools and collaboration opportunities.
“How can we implement type 2 diabetes prevention with digital biomarkers?”
We address this through four interlinked studies:
Ecosystem Mapping – Identifying stakeholder roles, needs, and alignment patterns in the healthy longevity domain.
Implementation Gap Analysis – Examining real-world challenges faced by practitioners deploying preventive programs.
Digital Disruption & Incentive Innovation – Analyzing how DHTs shift stakeholder roles and unlock new incentive architectures.
Scalability & Business Model Fit – Evaluating financial sustainability, market conditions, and policy integration in Switzerland.
Our recent work also introduces the 4R Framework (Reach, Retain, Report, Reimburse) to guide integration of preventive models into mainstream health financing.
Emerging Business Models in Digital Health