Research Interests

My mission is to characterize and optimize human health, rehabilitation, and performance using biomechanical and physiological signals from wearable sensors.

Degrees

PhD in Bioengineering, Stanford University, 2025 (Expected)
MS in Bioengineering, Stanford University, 2022 (Expected)
BS in Biomedical Engineering, University of Vermont, 2020

Honors and Awards

Stanford Bioengineering Department Award Fellowship, 2020
UVM Biomedical Engineering Senior Award, 2020
UVM Club Sports Leader of the Year, 2020
UVM International Travel Grant, 2019
UVM Summer Undergraduate Research Fellowship, 2018
UVM Biomedical Engineering Junior Award, 2018
UVM Domestic Travel Grant, 2017
UVM Biomedical Engineering Sophomore Award, 2017

Industry Experience

Data Scientist Intern, Merck Sharp & Dohme Corp., Summer 2020
Co-Op Technical Assistant, MIT Lincoln Laboratory, July 2018- July 2019

Representative Publications

Weed, L., Gurchiek, R., Tulipani, L., Meyer, B., Allen, D., Ursiny, A., Solomon, A., McGinnis, R. Sleep Detection and Disturbance Characterization from Chest Accelerometer for Multiple Sclerosis. BMES 2020, San Diego, CA. Accepted for Oral Presentation.

Telfer, B., Williamson, JR., Weed, L., Bursey, M., Frazee, R., Galer, M., Moore, C., Buller, MJ., Friedl, K. Estimating Sedentary Breathing Rate from Chest-Worn Accelerometry from Free-Living Data. IEEE EMBC/CMBES 2020, Montreal, Canada.

Weed, L., Fellin, RE., Davis, SK., Buller, MJ. Pedestrian Movement Tracking Using Adaptive Zero-Velocity Updates from Shank IMU. ASB/ISB 2019, Calgary, Canada. Accepted for Oral Presentation.

Weed, L., Robinson, J., Goodwin, L., McGinnis, RS. Open-Source Wearable Sensor Based Method Feasible for Tracking Steps in Patients Recovering from Stroke. BMES 2018, Atlanta, Georgia: Accepted for Poster Presentation.

Weed, L., McGinnis, RS. Validation of GaitAnalysisPro App for 10m Walk Test. BMES 2017, Phoenix, Arizona: Accepted for Oral Presentation.

Patents

Palmer, J., Telfer, B., Williamson, J., Weed, L. System and Method for Predicting Exertional Heat Stroke with a Worn Sensor. US Patent Pending. Filed 24 June 2020.