Interested students should e-mail an updated CV and unofficial transcript to biophotonics@mcmaster.ca.

Please refer to the main research page for general project descriptions as well as related publications which provides details of these projects.

We aim to develop wearable and ambient sensing device technologies and personalized AI/ML algorithms for continuous, longitudinal assessment of older adults' health conditions during their daily living activities (ADL). Such longitudinal health dataset will enable early detection and personalized management of chronic and neurodegenerative diseases.

In collaboration with researchers in the National Research Council and stakeholders in aging research (e.g., clinicians, nurses, caregivers, and older adults), we are developing a technology that integrates sensing systems for mobility, nutrition, and rehabilitation at home. This project is built on existing technology developments in each one of the above modules and focuses on software integration and clinical validation study.

• Starting date: May (preferred) or September 2024
• Level: MSc or PhD

Requirements:
Academic background in software/computing, mechatronics, electrical/electronic engineering or related areas (e.g., engineering physics, physics, biomedical engineering/technology). Past research or professional working experiences in any related areas are a plus. The applicant should have solid hands-on experience in at least one programming language (C/C++, Python, Java, etc.) Knowledge of machine learning/artificial intelligence are welcome.

In drug discovery and general biotechnology development, an essential step is to quantitatively measure molecular level interactions with advanced optical imaging of live cells including confocal fluorescence lifetime imaging microscopy (FLIM). Current confocal and FLIM instruments have slow frame rate due to the need for raster scan pixel-by-pixel. Recently, we developed a multiplexed confocal fluorescence microscope capable of scanning 1000 foci points simultaneously, which leads to a 1000 times improvement in acquisition frame rate. In this project, we plan to further develop the multiplexing imaging technology towards new instrumentations such as hyperspectral imaging, multi-dimension imaging fusion, and high-speed imaging. We will also investigate new biomedical applications of this technology in the area of drug discovery, viral therapy, metabolism, and neurodegenerative disease.

Requirements:
Good academic track record background in optical imaging, mechatronics, electrical/electronics engineering, experimental physics are highly desired. Past research or professional working experiences in any related areas are a plus. The applicant should have solid hands-on experience in at least one programming language (C/C++, Python, Java, etc.) Knowledge of machine learning/artificial intelligence are welcome.