Frequently asked questions

Program tuition: $7,500.

Additional fee ($1,500): covers coordinated housing and meals during the onsite segment, together with equipment and materials required for labs, prototyping, and project work (allocated by the program; not a separate retail purchase).

Figures are stated in USD; any updates are confirmed at offer or enrollment.

MHB is intended for high school and undergraduate students who want structured, mentor-led exposure to mobile health, wearable sensing, and bioengineering research—not a passive lecture series, but a sequenced research experience with lab deliverables.

We do not expect prior research publications or advanced programming. Helpful (but not strictly required) backgrounds include: comfort with high-school mathematics and basic science coursework; willingness to read short technical excerpts; and reliable written English for notes, short summaries, and team communication. Students should be prepared to follow safety and protocol guidance in shared lab settings.

No experience is required. Students are supported through foundations, lab guidance, and structured research milestones.

Students receive full support throughout online and onsite phases, including lab mentorship and research check-ins.

Feedback is delivered through mentorship: review cycles on proposals, data interpretation, and presentation preparation.

Students leave with a research proposal, documented hands-on lab experience, and practice in scientific communication.

Most short programs either teach tools in isolation or offer a generic “STEM experience.” MHB is built as a compressed research arc: you move from motivating clinical or behavioral questions, through measurement design and wearable sensing, to signal interpretation, responsible use of data, and scientific communication—closer to how contemporary mHealth labs actually operate.

The sequence deliberately couples hardware and software literacy (sensing modalities, constraints, failure modes) with methods thinking (what can be claimed from which signals, and what cannot). That integration is what allows work to feel like research engineering rather than a kit-based exercise.

MHB also situates the technical stack in a real institutional and translational context: proximity to leading medical and engineering ecosystems, and collaboration with industry partners in wearable health, frames problems the way funders, clinicians, and reviewers frame them—feasibility, human factors, and evidence quality included.

In short: the difference is not a single flashy project, but a coherent pipeline from question → instrumentation → analysis → communication, held to the expectations of serious mobile health inquiry.