I work on applied research and analytics projects where decisions are high-stakes, data is complex, and purely correlational approaches are insufficient.

My role typically sits between research, data science, and new product development..

Types of problems 

My industry work focuses on problems such as:

• Designing data-driven frameworks to support strategic decisions under uncertainty

• Moving from descriptive analytics to causal understanding of business outcomes

• Building interpretable models to support trust, governance, and accountability

• Translating research insights into decision tools usable by non-technical stakeholders

My role

• Framing business questions in a way that makes them empirically testable

• Designing research and analytics pipelines

• Acting as a bridge between technical teams, domain experts, and decision-makers

• Directly developing and maintaining empirical models

• Stress-testing results to ensure robustness before they inform real decisions

Typical outputs

Depending on the context, my work results in:

• Decision-oriented analytical frameworks

• Research-backed models 

• Experimental or quasi-experimental designs embedded in business processes

• Internal tools supporting strategic evaluation and learning over time