Wearable Device
Multimodal physiological and motion sensing at research-grade frequency.
Research Portfolio · 2025-2026
Building open-source tools at the intersection of biomedical engineering, digital health, and global health systems.
01 · Reflection
I am a senior at the North Carolina School of Science and Mathematics, and research now feels less like a distant category and more like a way of building for real people. I will enter Harvard University in the fall, and my academic interests sit at the intersection of biomedical engineering, digital health, and global health systems. I am drawn to work that can move from a bench, a model, or a circuit board to a person who can use it. My courses at NCSSM, including Applications in Entrepreneurship, Mathematical Modeling, Biophysics, and Organic Chemistry, have helped me connect technical depth with practical constraints. Maintaining a 4.92 GPA has mattered to me, but the lesson has been learning how fields translate into one another.
The Duke BIG IDEAs Lab, led by Dr. Jessilyn Dunn, gave me my clearest view of that translation. The lab brings together biomedical engineers and data scientists around open-source wearable tools, and the environment is collaborative in a specific way: people are generous with expertise, but they also expect work to be reproducible, useful, and honest about its limits. My work on VitalWave fit that culture because the project required hardware, firmware, mobile software, cloud storage, and dashboard design to behave as one system. I also worked with the WHO Innovation Hub on digital health innovations across the Eastern Mediterranean Region under Dr. Ahmedali, and with the Oxford Systems Biology Group under Dr. Bela N. on MemoryAssist. Being in a U.S. academic lab, a global health policy hub, and a translational systems biology group showed me how research culture changes when the pressure is validation, implementation, or clinical use.
One strength I bring to research is comfort moving across the hardware-software stack. I like the messy middle where a sensor, a phone, a database, and a visualization tool all have to agree. I am also willing to debug for longer than is convenient. At Katrick, a thermal-resistance bug took weeks to resolve, and the answer was not dramatic: a 0.3 mm interface was causing more than 40 percent of the thermal resistance. That experience changed how I think about precision. I have also learned to communicate technical work to audiences outside the project through TEDx, popular article writing, and explaining why raw sensor access matters.
My main weakness is that I over-scope. If a prototype can support one sensor, I start imagining six. If a dashboard shows one signal, I want cohort analytics, alerts, export tools, and publication-ready charts. Research has forced me to ask whether a feature serves the question or only satisfies my urge to build. I am also learning that a literature review is not a formality. Sometimes I treat building as the fastest way to understand a problem, but strong projects begin by knowing what has already been tried.
My favorite moment in research is when a signal comes through clean for the first time. In VitalWave, seeing raw physiological and motion data stream reliably made the system feel real in a way no schematic could. I also value mentors who are generous with time and precise in feedback. The best conversations help me see the next question I should have asked.
I also care about the moment when research reaches users. MemoryAssist became more meaningful during pilot deployments at Savoy Nursing Home because the device was no longer just an idea about navigation, face recognition, and caregiver alerts. It was something people could hold, react to, and challenge.
The parts I like least are less elegant but just as real: waiting on parts, moving through IRB paperwork, and confronting the distance between a working prototype and a robust one. A demo can succeed once. A research tool has to keep succeeding when conditions are imperfect, the battery is low, or the data format changes.
At Harvard, I plan to continue in biomedical engineering and digital health, with the possibility of an MD/PhD or a research-driven engineering path. Long term, I want to help build open-source health infrastructure for low-resource settings: systems that are technically rigorous, locally adaptable, and not locked behind proprietary tools. This year taught me that research is not only about producing an answer. It is about building enough trust in the method that other people can extend it, question it, and use it where it matters.
Video reflection — also available as written essay above.
02 · Research
Duke University · BIG IDEAs Lab · Dr. Jessilyn Dunn
Raw multimodal sampling across physiological and motion channels.
Packets lost in streaming trials during initial system evaluation.
Battery life under standard use for longitudinal collection.

Featured In · Duke Vertices
The article highlights Dr. Jessilyn Dunn's lab, Lauren Lederer's work on Project VitalWave, and the importance of open-source wearable tools that can move from research prototypes into real clinical and field settings.
Read the Duke Vertices featureMultimodal physiological and motion sensing at research-grade frequency.
Bluetooth streaming, session control, and offline logging for field use.
Secure synchronization for processing, validation, and longitudinal studies.
Visualization and export tools for digital biomarker analysis.
VitalWave collects raw physiological, motion, and environmental channels rather than only low-frequency summaries. That matters because digital biomarker research often depends on interpreting how these signals interact.
Photoplethysmography
An optical pulse signal that tracks blood-volume changes under the skin.
Accelerometer
A three-axis motion sensor that measures linear acceleration.
Gyroscope
A rotational motion sensor that measures angular velocity.
Magnetometer
An orientation sensor that measures the local magnetic field.
Humidity
An environmental channel that records local humidity around the device.
Temperature
A thermal channel for skin-adjacent and ambient temperature context.
03 · Abstract
Research Abstract
Hadi Abdul, North Carolina School of Science and Mathematics; Jessilyn Dunn, Duke University
204 wordsDigital biomarkers derived from wearable devices have strong potential to support continuous, real-time health monitoring, but many commercial systems provide only low-frequency, preprocessed outputs and limited access to raw signals, restricting their utility for research and machine learning. To address this gap, we developed VitalWave, an end-to-end open-source wearable platform for high-frequency digital health data collection and analysis. VitalWave integrates a multimodal wearable device with an iOS mobile application, secure cloud storage, and a web-based dashboard for visualization and downstream analysis. The device captures raw physiological and motion data, including photoplethysmography, accelerometry, gyroscope, magnetometer, humidity, and temperature signals, at up to 100 Hz, while supporting real-time Bluetooth streaming and offline logging. Initial system evaluation using 10-minute walking trials assessed signal quality, data transmission, cloud synchronization, and dashboard functionality. VitalWave successfully streamed and stored high-quality multimodal data with no reported packet loss, produced physiologically relevant heart rate estimates compared with a Polar H10 reference, and supported automated cloud processing and web-based visualization. Battery life exceeded three days under standard usage. These findings demonstrate the feasibility of VitalWave as a low-cost, research-grade platform for digital biomarker development and wearable health studies. Future work will focus on broader validation, additional sensor integration, and expanded machine learning applications.
04 · Oral Presentation
Final oral presentation for the Comprehensive Research Portfolio.
Structure: Title · Introduction · Methods · Results · Discussion · Conclusions · Acknowledgements · References

Title

Problem

System

Signals

Results

Discussion
05 · Popular Research Article
Profile · VitalWave Research

Written by Joshua Chilukuri
Interviewed researcher: Hadi Abdul
A profile of VitalWave, Hadi Abdul's open-source wearable platform for continuous biometric data monitoring and research-grade digital health data.
You just finished your morning run. 160 BPM heart rate, not bad at all. Glancing at your FitBit enables you to quickly track your vital data, and note how effective the workout was. That's real data - information that enables you to better understand your own body and health, serving you in improving your well-being. That said, imagine how important this data is for scientific researchers. Worldwide, active research across health domains faces a significant bottle-neck: there's limited access to open-source, accessible biometric data or information. Traditionally, collecting this data requires sophisticated, often IRB-approved, user studies, and even then, labs often keep such data private. What if there was a device and online platform that could enable biometric data to be easily collected, documented, and uploaded for use by scientific research communities? That's the idea NCSSM student researcher, Hadi Abdul, sought to chase after with Duke University's Big Ideas Lab under Professor Jessilyn Dunn.
At the start of his senior year, Hadi began his research term with NCSSM's mentorship program unsure of what to expect. He knew he was generally interested in bio-medical technology but didn't understand what exactly biomedical engineering research looked like. It wasn't until joining Dr. Jessilyn Dunn that he'd be exposed to a pertinent issue influencing modern BME research, especially given the modern relevance of data-intensive statistical models, such as AI, within the field.
"Data is challenging to access," Hadi told me. "Especially in developing countries. For example, I learned about researchers in Uganda whose efforts were being halted by the low access to biometric marker data sourced within the region." That inspired him to pursue an interesting challenge - what if Hadi could make his own wearable device, a watch similar to a FitBit or Apple Watch, that could source biometric data, such as heart rate, temperature, and orientation, for both user study use and public use, to build biometric datasets. Through NCSSM's mentorship program, he had the opportunity to be one of the only high school students in the Big Ideas Lab pursuing the exciting project as a culminating endeavor of his senior year.
It wasn't easy by any means at the start for Hadi. Having had limited experience on the engineering side, he first had to understand how non-invasive health sensors function and can be integrated into a device.
"A huge win for us is that we were able to source a chip with access to all 6 integrated sensors I wanted, simplifying the project design," Hadi told me. His device was effectively designed to collect signals PPG, ACC, GYR, MAG, HUM, and TMP, at a 100 Hz sampling rate. The signals represent the collection of heart rate, motion activity, rotational movement, orientation sensing, humidity, and skin temperature respectively. Throughout the first semester, Hadi learned the device design process to manufacture his first example watch.
Simultaneously, he also gained deep exposure to the research ecosystem at Duke, a skill which he noted will be super valuable for the rest of his life. Hadi was able to meet an assortment of researchers in his lab focused on a diverse set of problems within his general field of interest. He'd often gain help from other student researchers, including PhD students, while working on his own device. An exciting side project he also participated in was writing an article for Duke Vertices, where he wrote about the Big Ideas Lab and their work in medical device research. That experience taught him that scientific research isn't just about the technical side, but also how to communicate scientific ideas.
In the second semester, Hadi got to see his work result in tangible impact and results. With a partner in the lab, he was able to test his biomedical device and track real biometric data effectively. He tracked heart rate versus physical activity, leveraging the PPG and ACC sensors he integrated into the watch. The accuracy of his tests validated that his watch could serve as a real research-grade device. Now, Hadi is continuing work attempting to program a digital platform for the Big Ideas Lab to upload their biometric data for public access. He hopes the platform will serve as a powerful resource for groups, such as the researchers in Uganda he learned of, who could use the data to conduct their own research on health conditions.
It's hard to distill Hadi's journey into a single lesson. His work demonstrates that research can be an unexpected experience that stretches and challenges high school students in more ways than one. Yet, beyond that, his work also directly reflects the importance of designing systems that make data safe to procure, and publicly available, to advance spaces as sensitive as medical research. Moving forward, Hadi hopes to study biomedical engineering, or a related field, in college, where he is excited to continue pursuing research.
06 · Resume
Harvard University, Cambridge, MA
Incoming First-Year Student
North Carolina School of Science and Mathematics, Durham, NC
Aug 2024 – May 2026
World Health Organization Innovation Hub — Eastern Mediterranean Region
Research Intern · Supervisor: Dr. Ahmedali M.
Sept 2025 – Present
Duke University — Big Ideas Lab (Dr. Jessilyn D., Dept. BME)
Research Intern · PI: Dr. Jessilyn D.
Mar 2025 – Present
University of Oxford — Systems Biology Group (Dr. Béla N.)
Co-Founder, MemoryAssist · PI: Dr. Béla N. — U.S. Provisional Patent Application No. 63/755,185
Jun 2025 – Dec 2025
Katrick, Scotland — Passive-Cooling Technology with Clinical Application
Developer · Supervisor: Mr. Farshad Q.
Jun 2023 – Jan 2025
Lucent — PFAS Water Filtration System
Co-Founder & Engineer
Sept 2024 – Mar 2025
07 · Recognition
Selected honors that contextualize the research portfolio and broader academic work.
2026
150 / 100,000+ · $20,000
National scholarship recognizing leadership, service, and academic achievement.
2026
Top 250 / 300,000
Qualified for the USA Mathematical Olympiad through national competition.
2025
Top 90 / 6,000
Recognized among top U.S. Physics Olympiad competitors.
2025
Top 60 / 3,400
Advanced Lucent PFAS filtration system to global finals.
2024
8.6k views
"Breaking Through Perceived Limits" talk on achievement and self-expectation.