About Me

Hello, my name is Tarek Hamid. I'm passionate about using data from physiological sensors to help diagnose and treat disease.

I believe in a proactive approach to healthcare; using biomedical instrumentation and computer systems, we can help lead healthier lives, diagnose conditions earlier, and stop disease before it progresses. To create such devices requires highly interdisciplinary and collaborative teams, an environment I believe I thrive in.

Currently, I am a biomedical algorithm engineer at Sotera, where I am working on building next-gen algorithms for a vital signs wearable monitor that is used in clinical settings. Previously, I worked various roles in several industries, including roles as a software engineer, electrical engineer, and biomedical scientist. My formal training is in biomedical engineering and computer science.

In my spare time I enjoy playing basketball, volleyball, and chess, and reading.

Below are some projects that I have worked on in both a personal and professional capacity.

Experience

Biomedical Algorithm Engineer

Present

Sotera Digital Health

I work on end-to-end algorithm development using signal processing and machine learning to extract physiological information from a clinical wearable device by utilizing ECG, PPG, and SCG waveforms.

Digital Health Consutlant

Present

Tarek Hamid Consulting

I provide data science and software development consulting for companies and individuals in the digital health space. Previously have worked on: analysis of gait variability for a neurostimulation device and a respiration rate algorithm for a wearable device.

Research Assistant

University of Pennsylvania

- GLUmos: Developed an algorithm using signal processing and ML to detect blood glucose from a novel wearable spectroscopy device.
- SpectraVue: Developed a data processing and data visualization platform using Plotly Dash for rapid analysis of 3D spectroscopic signals.
- Raproto: Developed an Android application enabling rapid prototyping of wearOS smartwatches with applications to remote monitoring/health research. The app was leveraged in a couple of large scale clinical studies for stroke detection and post-partum hemorrhage which has lead to the development of 2 companies and an FDA breakthrough designation. It is also currently being used in a 500-person clinical trial and continues to be used for rapid-prototyping of novel biomedical sensors.

Software Engineer

JPMorgan Chase

Developed internal analytics platforms for Chase Consumer web and mobile apps using Python, Java, Angular, and Oracle.

Electrical Engineer

Department of Defense

Designed electrical power systems for military vehicles at Picatinny Arsenal.

Scientist

Johnson & Johnson

North American R&D lead for post-market changes to class I and II medical devices in the consumer space.

Publications

Tarek Hamid, Insup Lee, and Amanda Watson. 2023. SpectraVue - An Inter active Web Application Enabling Rapid Data Visualization and Analysis for Wearable Spectroscopy Research. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC ’23 Adjunct ), October 8–12, 2023, Cancun, Quintana Roo, Mexico. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3594739.3610709

(Submitted): Lingamoorthy, A., Watson, A., Hamid, T., Mishra, A., Quinn, K., Kendall, C., Lee, I., 2023. GLUmos: Noninvasive Glucose Monitoring Using a Wearable Spectroscopy Device. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 4, Article 187 (December 2023), 21 pages.

(Submitted): Watson A., Hamid, T., Helm K., et al. 2023. Raproto: An Open-Source Platform for Rapid Prototyping with Wearable Devices. 1, 1 (July 2023), 19 pages.

Hamid, T., Ayala, S., Trivedi, A., & Shah, A. (2017). Alleviation of Arthritic Symptoms through Thermal Therapy. In Proceedings of the 2017 Northeast Biomedical Engineering Conference (NEBEC). Newark, NJ: IEEE.