A data scientist turned neuroscientist, Sebastien Dery is currently a graduate student at McGill University's Faculty of Medicine fascinated by the Renaissance men of humanity. His research formerly dealt with methodological considerations of non-invasive electrophysiology while his personal projects span the data sciences, machine learning and image processing.
How does populations of neurons spontaneously self-organize towards the emergence of higher cognitive functions? What are their dynamics? Can we derive simple laws of interaction governing networks of coupled entities? How can we model collective behaviour towards improving social policies? What is the impact of technology on human life? How can we find balance between innovation and social good towards a humanist future? These are questions currently driving this curious mind.
In recent year I've felt increasingly compelled to advocate the careful and adequate use of technologies to better human condition. It is unnerving to see an exponential increase in computation that isn’t met with more enlightened political, social and ecological responses from leaders, policy maker and lobbying groups. You’ll therefore see me very much interested in data extraction and analysis towards providing evidence-based reasoning to current issues. I would welcome you to get in contact if you have similar interests.
Develop a science-based society through direct involvement.
Research often involves teams of scientists collaborating across continents. Through the almost omnipresence of computers and Internet, non-specialists can now participate too, provided the right tools and guidance. A pioneering project of Science Citizen was the SETI project, harnessing the idle computing time of millions of participants in the search for extraterrestrial life. This work aims to further include the public into the field of neuroscience through an interactive recording platform stationed in museums and science exhibition. Curious individuals are invited to learn about their brain through short recording of particular paradigm. By covering an unprecedented number of subjects and demographics, we expect to extract relevant but missing developmental curves of electrophysiology.
How do populations of neurons exchange multi-sensory information.
Neuronal oscillations are comprised of rhythmic fluctuation of excitability that are synchronized in ensembles of neurons resulting from a dynamic interplay of excitatory and inhibitory signalling. In the hippocampus, brief pulse trains delivered at the peak of a theta oscillation result in long-term potentiation, whereas the same trains applied out-of-phase weaken the previously strengthened inputs. Implication of these oscillation-gating functions is that perception is not a continuous event but is subject to the cyclic changes of the networks processing the input. This work aims to bridge current efforts of Artificial Neural Network (ANNS) towards more realistic networks encompassing the wealth of dynamics observed in biological neural networks. The hope is that a better understanding of the mechanism present in the human brain will drive research towards more resilient and powerful artificial intelligence.
Social network analysis (SNA) is a strategy for investigating social structures through the use of network and graph theories. It offers a quantitative approach to questions such as: Facing global competition, how can we create organizations that are cooperative, productive, and creative? Can we define laws driving the social factors at play? Using this information towards predictive, computational theory of human behavior one can hope to engineer better social systems. This work investigate phenomenas emerging from scientific communities aiming to provide insights on the dynamics at play. It also holds educational potential for a better appreciation of the social factors involved in scientific success. A goal of this project consist in putting science back into the social consciousness of the public. Clubs of Science
Global warming. Acidification. Bleeching. How to make sense of it all through computer vision
The warmer air and ocean surface temperatures brought on by climate change impact corals and alter coral reef communities by prompting coral bleaching events and altering ocean chemistry. These impacts affect corals and the many organisms that use coral reefs as habitat. This work investigates automatic segmentation and identification procedures for coral reef monitoring aiming to provide researchers invested in the surveillance of coral health the tools to extract measures of biodiversity and resilience from both historical and recent data.
• Use of adaptive graph cuts for component clustering.
• Comparison of accuracy with textons-based approaches for texture classification.
Some published and soon to be published work that rose from collaborations with amazing people. Currently in discussion for open-access of all manuscripts.
I am deeply interested in meeting new people from different background so don't hesitate to reach out. I would be happy to discuss if you think I could help in your research, envision a possible collaboration, would like to exchange scuba diving stories, enjoy discussions with random people, have travel tips to share, the list goes on..