Effets antiprolifératifs,antimicrobiens et anti inflammatoires de l’anéthol

le projet de recherche repose sur l’utilisation d’une approche complémentaire par phytothérapie afin de traiter le cancer buccal , limiter son évolution , améliorer sa prévention et la qualité de vie liée aux personnes qui en sont atteintes. l’étudiant aura pour tâche d’étudier l’effet anticancéreux de l’anéthol sur les cellules du cancer de la bouche […]

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Sleep and circadian rhythms phenotyping in high-risk bipolar offspring

Bipolar disorder (BD) is a chronic psychiatric disorder with peak age of onset between 15 and 25 years. In clinical practice it takes over a decade from initial symptom presentation to accurate diagnosis, with such delays being linked to a range of adverse consequences. Therefore, finding early markers of vulnerability is essential. Familial history (i.e. […]

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3D photonic microsystem design

The core of the research is multi-technology devices that stimulate and record neurons, integrated photonic devices for micro-displays, and photonics-enabled computing hardware. The novel foundational technologies underpinning the research are foundry-manufactured integrated photonics platforms on silicon for the visible spectrum and advanced 3D printing of biological and other organic materials. Macro-scale systems (mechanical and electronic) […]

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Implantable Nanophotonic Device Development for Optogenetics

Brain-inspired computers are a developing technology that use biological foundations to inform computational processes. The study of complex brain circuitry is crucial for creating such technologies. However, progress is limited as neural circuits are difficult to study in vivo. Under the directorship of Joyce Poon, the Nanophotonics, Integration and Neural Technology department of the Max […]

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Photonic Computing and Brain-Computer Interfaces

My lab’s research projects involve developing integrated silicon photonic devices for both brain-computer interfaces and artificial intelligence computing hardware. My focus will be developing photonic computing hardware that is neuromorphic, meaning it emulates the way our brains work. My main objectives will involve developing and characterizing integrated photonic chip designs that involve functional and trainable […]

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Développement d’un test d’efficacité et identification de biomarqueur permettant d’évaluer la capacité du lait maternel à prévenir l’entérocolite nécrosante

L’entérocolite nécrosante (NEC) est la plus commune et la plus meurtrière des maladies inflammatoires de l’intestin. Elle affecte 5 à 10 % des enfants prématurés ayant un poids inférieur à 1500 g. Le lait maternel constitue l’approche la plus efficace pour prévenir ou traiter la NEC. En effet, il a été montré que l’alimentation avec […]

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In-line Method Development for Vaccine Production

The safety and quality of vaccine products are an integral requirement for all vaccine manufacturing and production. Most current tests are using laboratory equipment that requires trained personnel, equipment qualification, method validation, manual sampling, and testing at various stages of product manufacturing. However, the off-line testing is slow, often requires significant volume of material for […]

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Decoding the neural correlates of dynamic decision-making in humans

This research project will combine computational modeling, machine learning (ML) algorithms and whole-brain neural recordings (magnetoencephalography, MEG) to shed light on how the mechanisms underlying dynamic decision making are implemented in the human brain. Specifically, we will use the statistical framework of information theory to characterize inter-areal neural coupling and the direction of information flow […]

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Employing Raman Spectroscopy for monitoring a vaccine manufacturing process

Vaccine antigen production is a process that entails numerous variables. In order to have a consistent and robust process, monitoring of process parameters and controlling output variables within a certain range is the best practice. To accomplish this objective, analytical tools are used, on-line, off-line, at line. Real time monitoring of the processes is advantageous […]

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Robot-Assisted Breast Cancer Surgery

Breast cancer affects 1 in 8 women during their lives and is the second-leading cause of female cancer related deaths. The ideal treatment is breast-conservation surgery during its early stage to remove the cancer while conserving healthy parts of the breast. With current resection methods, on average, one out of every three women undergoing breast-conservation […]

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