About Timothy
Timothy is a Boston University Computer Engineering student focused on biomedical research, robotics, and machine learning. His work connects software, experimental measurements, and wearable hardware to questions in human health.
Boston University
Bachelor of Science in Computer Engineering
Full-stack architecture, accessible interfaces, application workflows, and production delivery.
Dataset construction, waveform feature engineering, supervised learning, and cohort comparison.
Architecture ownership, cross-functional coordination, technical handoff, and curriculum development.
Clinical-data analysis, feature comparison, visualization, and evidence-led interpretation.
IRB-supervised experiment leadership, measurement protocols, recruitment, data analysis, and wearable CAD.
Across commissioned software, biomedical research, AI product testing, and technical education, Timothy gravitates toward systems that require several disciplines to work together. He pairs Robotics and Machine Learning concentrations with a Chemistry minor and a pre-medical track. At BOTLab, he leads an IRB-supervised experiment on positional signal-to-noise ratio for cuffless blood-pressure estimation and contributes machine-learning analysis and wearable test hardware. He is exploring graduate study in neuroengineering, bioengineering, and biomedical engineering, including possible PhD and master's pathways, with interests in brain-computer interfaces, robotics, and intelligent medical devices.