Biomedical Engineer
Engineering at the intersection of health, technology, and human impact.
Healthy Aging
Longevity & wellness
Community
Impact beyond code
Leadership
Teams & vision
Clinical Work
Patient-centered care
Medical Imaging
Ultrasound & diagnostics
Robotics
Human-centered systems
AI Research
Machine learning in health
Entrepreneurship
Building ventures
About
Biomedical engineering, clinical innovation, and co-created solutions designed around real human needs.
Hello! My name is Albin, and I'm a Biomedical Engineer interested in how technology moves from ideas to real-world impact. My work spans medical imaging, robotics, machine learning, cellular engineering, and health technology, with a particular interest in aging, healthcare systems, and human-centered design.
What excites me most is working at the intersection of disciplines. Some of my projects involve developing sensing and imaging systems, others focus on understanding biological processes, and others explore how technology can better support older adults, clinicians, and caregivers. Despite their differences, they're all connected by a common goal: understanding complex problems and building practical solutions.
Beyond technical work, I'm passionate about co-creation and entrepreneurship. I enjoy collaborating with researchers, clinicians, industry partners, and community members to ensure the technologies we develop are grounded in real needs and have a clear path to creating value.
My Philosophy:I’m drawn to projects that combine rigorous engineering with real-world relevance. Whether I'm working in a laboratory, developing software, leading interdisciplinary teams, or exploring new venture ideas, I'm motivated by the challenge of translating knowledge into tools, systems, and experiences that improve people's lives.
Across research, entrepreneurship, and clinical collaboration, I've contributed to healthcare technologies spanning AI, wearables, medical imaging, robotics, cellular engineering, and aging-focused innovation.
10+
Publications
15+
Co-Authored Conference Presentations
$36,950+
Funding & Awards Secured
8+
Innovative Healthcare Projects
What I Specialize In
I build healthcare technologies bringing in techniques from signal processing, machine learning, wearables, embedded systems, and medical imaging. A special focus of mine is on co-creation, making meaningful technologies with patients, caregivers, and communities. Projects range from benchtop prototypes to systems deployed in real care settings.
Built machine learning pipelines for cardiac arrest and bruxism detection using wearable physiological signals, focusing on signal quality, feature engineering, and real-world deployment.
Wearable signals · cardiac arrest & bruxism detection
Developed processing pipelines for PPG, EMG, and ultrasound signals to extract clinically relevant biomarkers for cardiac monitoring and wearable health technologies.
PPG · EMG · ultrasound biomarkers
Developed wearable ultrasound systems for CPR monitoring, including transducer characterization, benchtop testing, signal analysis, and physiological assessment.
CPR ultrasound · transducer characterization
Led and contributed to aging and dementia research using robotics, virtual reality, and AI to improve social connection, rehabilitation, and quality of life for older adults, with peer-reviewed publications and conference presentations across long-term care settings.
VR · robotics · publications · conferences
Applied experimental bioengineering techniques including mammalian cell culture, transfection, PCR, flow cytometry, and laboratory-based research.
Cell culture · PCR · flow cytometry
Collaborated with clinicians, caregivers, patients, family partners, and communities to translate healthcare technologies into meaningful real-world solutions.
Clinicians · caregivers · community partners
Designed wearable health monitoring systems by integrating sensors, embedded hardware, signal processing, and machine learning for clinical applications.
Sensors · embedded hardware · clinical ML
Built firmware in Python, MATLAB, and Rust for an EMG-activated prosthetic arm for an amputee, and designed PCB hardware for a bruxism monitoring and detection system.
EMG prosthetic firmware · bruxism PCB · Python · Rust
Built and deployed AI-enabled robotic systems in healthcare settings using Python, Rust, AWS, and human-centered design approaches.
Python · Rust · AWS · healthcare robotics
Impact
Research, leadership, innovation, and community impact across healthcare, engineering, and technology.
Research & Knowledge Creation
10+
Academic Publications
2
Manuscripts in Progress
15+
Conference Presentations
NSERC
Research Award Recipient
Contributing to interdisciplinary research spanning technology co-creation with older adults, medical imaging, digital health, robotics, and healthy aging.
Research has resulted in peer-reviewed publications, conference presentations, ongoing initatives, and collaborative projects focused on translating knowledge into real-world impact.
Leadership & Community Building
4
Major Leadership Roles
$36,950+
Competitive Awards & Funding
2
Organizations Led
500+
Students, Team Members, and Community Participants Engaged
Leading interdisciplinary academic, engineering and community organizations while supporting technical development, strategic planning, funding acquisition, and student growth.
Leadership experience includes serving as Captain of UBC Open Robotics (50 person engineering design team), President of UBC STEM Fellowship (National Non-Profit), and Lead of several academic research projects.
Innovation & Human Impact
Countless
Interconnected Domains
100+
Conversations with Key Stakeholders & Partners
7+
Years Supporting Older Adults
AGE-WELL HQP
Designation Recipient
Building technology at the intersection of academic research, engineering, healthcare, and human-centered design.
Projects have involved direct collaboration with clinicians, caregivers, veterans, older adults, researchers, and community organizations.
Selected Recognition
Competitive awards, fellowships, and research funding from universities and national organizations.
$36,950
Competitive Awards & Funding
$3,650
School of Biomedical Engineering, UBC, CanadaOct 2025
$800
IDEA Lab, UBC, CanadaSep 2025
$2,500
CanadaSep 2025
$9,000
UBC Faculty of Applied Science, Canada · Open RoboticsOct 2024
$1,000
AGE-WELL National Innovation Hub, CanadaOct 2024
$10,000
UBC IDEA Lab, CanadaAug 2024
$10,000
UBC IDEA Lab, CanadaApr - Aug 2024
AGE-WELL National Innovation Hub, Canada2024
University of British Columbia, Canada2024
$15,000+
University of British Columbia, CanadaApril 2023 - June 2026
My Journey
From biomedical engineering coursework to clinical innovation, transdisciplinary research, venture building, and organizational leadership.
2023 - Present
Conducting interdisciplinary healthcare research with clinicians, older adults, family partners, and community organizations to co-design and evaluate technologies that support health, aging, and care delivery.
2024 - Present
Developing intelligent sensing systems, medical devices, and machine learning approaches that translate physiological signals into actionable healthcare insights.
2024 - Present
Turning research and engineering ideas into real-world products through stakeholder discovery, venture development, prototyping, and commercialization.
2023 - Present
Leading interdisciplinary teams, student organizations, and research initiatives while building communities that support technical growth and collaboration.
2017 - Present
Connecting research, healthcare, and community through volunteering, mentorship, public speaking, and knowledge dissemination.
Research Profile
AI-enabled healthcare • Wearable sensing • Robotics • Human-centered design
My research interetsts involve co-developing healthcare technologies with patients, caregivers, and communities. I've come to understand that the best technologies are not just technically sound, but also grounded in real human needs and designed with the people who will use them in mind.
Since joining UBC IDEA Lab in 2022, I've worked with clinicians, older adults, researchers, and community partners to design and evaluate technologies for healthcare settings. This includes includes AI-enabled robotics for long-term care, virtual reality experiences for acute care and long-term care settings, and stakeholder-driven approaches to designing meaningful healthcare technologies.
Through biomedical engineering research and directed studies, I've also worked on machine learning methods for wearable PPG data, contributing to the development of improved sudden cardiac arrest detection models. These projects have allowed me to combine technical skills in sensing, signal processing, machine learning, software development, and human-centered design while working closely with the people who will ultimately use these technologies.
Currently, I am developing novel ultrasound sensing approaches for CPR monitoring using polymer-based capacitive micromachined ultrasonic transducers (polyCMUTs), combining sensor characterization, benchtop testing, signal processing, MATLAB, and Python-based computational methods.
While the technologies themselves vary, they are all connected by a common goal: understanding how intelligent sensing, artificial intelligence, and human-centered design can be used to improve health, support healthy aging, and create healthcare technologies that make a meaningful difference in people's lives.
Robot Developement & Testing
Virtual reality
Wearable technologies
Research presentations
Research contributions across AI, robotics, aging, virtual reality, and healthcare technology.
10+
Publications
I develop healthcare technologies through engineering, research, and collaboration.
Selected Work
A selection of my projects spanning research, engineering, healthcare, entrepreneurship, and human-centered technology.
Developing a wearable ultrasound sensing platform for CPR monitoring using polymer-based capacitive micromachined ultrasonic transducers (polyCMUTs). Conducting benchtop testing, sensor characterization, and performance analysis while developing MATLAB and Python-based beamforming, adaptive receive methods, and physics-informed signal processing approaches. Working toward extracting clinically relevant metrics including blood perfusion changes and heartbeat activity during CPR.
Taking a capstone project beyond the classroom into a health technology venture focused on wearable bruxism monitoring. Developing a sensing platform integrating EMG signal acquisition, low-power hardware design, CAD-based prototyping, and machine learning models while working with mentors, stakeholders, and domain experts toward commercialization.
Leading a multidisciplinary team of students, researchers, clinicians, older adults, and Indigenous community partners through the co-creation of culturally grounded virtual reality experiences for acute care and long-term care settings. Supporting community engagement, technical development, research publications, conference presentations, and knowledge translation activities.
Led a multidisciplinary team of 40+ students, healthcare providers, researchers, and patient/family partners to design virtual reality experiences for older adults in hospitals and long-term care. Coordinated stakeholder engagement, technical decisions, training resources, and research dissemination across multiple healthcare environments.
Completed an 8-month directed studies project developing approaches for detecting sudden cardiac arrest using wrist-worn wearable PPG data. Supported clinical and in-house data collection, physiological signal analysis, feature engineering, and machine learning optimization to improve prediction reliability.
Founded MiraVie, an AI-enabled companion platform designed to support older adults aging in place. Developed early prototypes integrating conversational AI technologies while completing the e@UBC Venture Founder Program, conducting stakeholder discovery, and competing in startup pitch events.
Supported the development of Aether, an autonomous social robot designed for long-term care environments. As an NSERC-funded research assistant, worked with Rust, Python, AWS, and AI integration to improve robot interaction capabilities and support deployment in healthcare settings.
Led a 50-person student engineering design team developing robotics systems for RoboCup@Home. Managed a major team transition, introduced project management structures, supported technical development, secured funding, and coordinated multidisciplinary engineering efforts.
Contact
Reach out for collaborations, research inquiries, or just to say hello