The people doing the evaluating

Shannon Lantzy, PhD

Founder & Chief Executive

Shannon is a decision scientist who has spent her career on one question: what evidence does it take to move a high-stakes decision? She has designed and run independent evaluations across federal science and health programs and spent a decade in medtech R&D strategy. She hosts Inside Medtech Innovation, a podcast in conversation with the field's builders and regulators, and founded Medtech Throughput Labs to give manufacturers an honest, independent read on throughput technology.

For your team: The evaluation design — and the guarantee that its incentive is a fair answer, not a sale.

Sara Eggers, PhD

Benefit-Risk Decision Analyst

Sara is a decision scientist and former FDA leader in structured benefit-risk assessment, where she shaped how the Agency and medical product developers frame and analyze benefit-risk decisions for medical products. At MTL she owns the discipline that makes evaluation evidence decision-grade: framing the decision, defining criteria, analyzing uncertainty — and building confidence in the answer, including “this one isn't a fit.”

14 years at FDA's Center for Drug Evaluation and Research, including as Director, Decision Support and Analysis Staff. PhD in Engineering and Public Policy, Carnegie Mellon University.

For your team: Evidence structured the way regulators and executives actually decide — defensible, transparent, repeatable.

Jessica Mavadia-Shukla, PhD

Regulatory Advisor

Jessica is a former FDA reviewer and former FDA Program Manager for the Medical Device Development Tools (MDDT) Qualification Program — the agency's pathway for qualifying the tools that generate device evidence. She advises manufacturers and innovators on practical regulatory strategy: what evidence to generate, how to prepare a submission, and how to approach FDA.

For your team: A clear line of sight from evaluation evidence to what FDA-grade scrutiny will expect of it.

Aurora Bristor

Program Coordinator

Aurora is a systems thinker and risk analyst at home in highly complex systems. At MTL she runs the orchestration: the structure, sequencing, and safeguards that let a small expert bench evaluate deeply — across manufacturers, performers, and regulatory requirements — and create an integrated, persuasive case.

12 years at Fannie Mae, including as Director, Analytics & Modeling for Affordable Housing. MS in Applied Mathematics, University of Maryland.

For your team: An evaluation that respects your calendar — prepared meetings, bounded asks, and nothing re-invented on your time.

David Anderson, PhD

Analytics Lead

David is a professor of operations research whose work spans optimization and healthcare analytics. At MTL he leads the quantitative side of the bench — the statistical modeling behind benchmarks and ROI estimates — and builds the tooling that keeps analyses reproducible.

For your team: Numbers that survive a hard look — every model inspectable, every assumption written down.