School of Engineering

Showing 1-7 of 7 Results

  • Paul Schmiedmayer

    Paul Schmiedmayer

    Postdoctoral Scholar, Bioengineering

    Current Research and Scholarly InterestsPaul Schmiedmayer's research applies computer science research to medicine, enabling digital health innovations. These include machine learning applications and deployments, heterogeneous connected devices, health data standards such as FHIR, and software engineering best practices.
    He leads the development of the Stanford Spezi framework and ecosystem, enabling the rapid development of digital health innovations. He is a co-instructor of the Building for Digital Health (CS342) course.

  • Mohit Singhala

    Mohit Singhala

    Postdoctoral Scholar, Bioengineering

    BioMohit is the Global Maternal Health Fellow at Impact1, Stanford Biodesign. He is working to identify and address the top unmet needs in maternal health in India, splitting his time between Uttar Pradesh and California.

    He completed his PhD at Johns Hopkins, where he studied haptics and medical robotics. He built custom electromechanical testbeds to quantitatively assess how humans perceive touch. He concurrently served as an innovator-in-residence at Johns Hopkins CBID, where he previously earned his MSE in bioengineering innovation and design. He comes from India, where he completed his undergraduate training in mechanical engineering.

    He has invented several patented and patent-pending medical devices, performed primary ethnography in multiple countries, and received funding from organizations such as the Gates Foundation. He continues his global health collaborations in India, Uganda and Zambia. Mohit also played a crucial role in Hopkins’ COVID-19 pandemic response, most notably helping devise an emergency dialysate production method that was adopted by multiple healthcare facilities.

  • Sandya Subramanian

    Sandya Subramanian

    Postdoctoral Scholar, Bioengineering

    Current Research and Scholarly InterestsI would like to focus on platform technology development for at-home monitoring of chronic disease, by studying gut-autonomic nervous system interactions. I am trained as an engineer and computational researcher, and I have experience developing computational algorithms from physiology, collecting data from patients in complex clinical scenarios, and collaborating with diverse clinical and regulatory teams. I am developing expertise in hardware-software interfacing and bioelectronics.