Ghana
Biomedical engineer. Educator. Builder. Ph.D. in Biomedical Engineering from the University of Toledo with teaching experience and hands-on research in wearable medical devices, embedded systems, signal processing, and machine learning for healthcare. I've designed courses, built physiological monitoring devices from the ground up, and mentored students across two countries. My work sits at the intersection of AI, wearable technology, and healthcare training and I'm passionate about both advancing the field and preparing the next generation of engineers to do the same. Open to academic and industry roles in biomedical engineering, medical devices, embedded systems, and healthcare technology.
Conducted interdisciplinary research at the intersection of AI, wearable technology, and healthcare training in the Technology Development Lab. Led technical development across two funded projects: PREPARE (AI-driven competency assessment) and Pre-Lapse (opioid relapse prediction) Designed and built a custom physiological monitoring wristwatch from scratch, integrating five sensor subsystems (PPG, IMU, IR temperature, GSR/bioimpedance, PMIC) using C, Zephyr RTOS, and nRF platforms Developed ANN and ML models in Python to classify healthcare professionals' competency levels using multimodal physiological data. Engineered signal processing pipelines in MATLAB to extract HRV and GSR stress/cognitive load markers from EMPATICA E4 wearable sensors Built heart rate computation algorithms using wavelet decomposition and peak detection on BVP data to mirror FDA-approved Empatica Embrace readings Created anomaly detection algorithms leveraging statistical distributions for individualized physiological baselines Mentored all incoming undergraduate and master's students in research methods, lab protocols, and programming tools as the first and only doctoral student in the lab
Designed and independently delivered a special topics course for 16 students, building the entire curriculum from scratch — syllabus, lectures, labs, assessments, and a semester-long capstone project. Students designed and built a functional blood pressure monitoring system with real-time IoT data transmission. Created project-based curriculum covering embedded systems, wireless communication, IoT protocols, and biomedical sensor integration Led students through the full engineering design cycle using the Arduino MKR1010 WiFi microcontroller Designed a custom 3D-printed device enclosure in SolidWorks and guided students through CAD modeling and rapid prototyping Provided hands-on instruction in soldering, circuit assembly, sensor calibration, and firmware development Delivered differentiated instruction for students with varying technical backgrounds using scaffolded lab activities
Supported and independently delivered instruction across four core biomedical engineering courses: Biomedical Signal Processing, Biomedical Electronics, Physiology for Bioengineers, and Biomedical Instrumentation. Independently taught Biomedical Electronics and Biomedical Signal Processing, delivering full lectures and leading review sessions Led two years of hands-on lab sessions where students built ECG monitors on breadboards, calibrated sensors, and troubleshot biomedical devices Used MATLAB and Python coding demonstrations with real clinical data to bridge theory and application Developed supplemental study guides, practice problems, and visual aids to improve student comprehension Mentored undergraduate students on academic pathways, research opportunities, and career development
Served at the FDA regional office during national service, where I identified a critical gap in how company registration and license expiration data was managed. All records were stored on paper, making it nearly impossible to track which companies had lapsed licenses or to proactively notify them of upcoming renewals. Designed and built a digital tracking system in Microsoft Excel with no funding or external support to digitize all registered company data, license statuses, and expiration dates Implemented automated alerts and notification workflows to flag upcoming and overdue license renewals Enabled the office to proactively contact companies with expired or expiring licenses for the first time Generated GH₵25,000 in renewed license fees within the first day of deployment revenue that was previously being lost due to lack of visibility into expiration dates Transformed a manual, paper-based process into a scalable digital system that improved regulatory compliance tracking and revenue recovery
Taught and supported instruction in Cell Biology, Medical Imaging, Biomedical Optics, and Biomedical Electronics & Instrumentation across multiple undergraduate cohorts. Led laboratory sessions and tutorials, and provided one-on-one mentoring to help students connect theory to practical biomedical applications.