About me

My name is Roseline OLORY and I am from Bénin. My passion in life is helping others and solving problems with the goal of improving society one day at a time. With this in mind, I acquired multidisciplinary knowledge (mathematics, computer science, medicine, entrepreneurship) allowing me to create technological solutions and I engaged in various volunteer activities in order to impact society in my own way. This video roughly sums up who I am : https://youtu.be/IlFKBH8OmwM

Bibliography

After obtaining my baccalaureate in science (sciences and techniques) in Benin, I simultaneously undertook an engineering degree in computer science, and a master’s degree in mathematics. My altruism led me to develop a tool to help diagnose diabetes, as a dissertation in computer science. Throughout my studies in Benin, I also produced a gospel album in which I advocate unity and love of neighbor.

When I arrived in Canada, I started a doctoral program at École de technologie supérieure (ÉTS) that focuses on the analysis of medical images for decision-making in orthopedics. During my thesis, I had the opportunity to work in close collaboration with the industrial partner EOS Imaging in order to develop automatic methods for the identification of clinical information (in EOS radiographs) intended to be integrated into the commercial 3D reconstruction software of the EOS Imaging company. The approaches developed during my thesis project were the subject of a technology transfer to the company EOS Imaging.

In the middle of my doctorate, I undertookd in the graduate program in innovation in surgery which allowed me a total immersion in the medical field. I had the privilege of interacting with doctors from different fields (orthopedics, gynecology, cardiology, …) to follow different surgical procedures which allowed me to observe and understand the problems faced by doctors and to propose innovative solutions. This allowed me to co-found the company FemTherapeutics whose vision is to design non-invasive medical tools for the prevention and treatment of gynecological pathologies.

After my doctoral degree, I undertook a postdoctoral fellowship at Laval University/Cervo Brain Research Centre where I worked on the development of machine learning approaches in neuroscience.

Currently, I am the founder and CEO of the company BrainInnov Inc. where we develop technologies based on artificial intelligence.

Important Scientific publications

• Doney, Ellen, et al. (2023). Chronic stress exposure alters the gut barrier: sex-specific effects on microbiota and jejunum tight junctions. Biological Psychiatry Global Open Science. doi : 10.1016/j.bpsgos.2023.04.007.
• Olory Agomma, Roseline, et al. (2022). Automatic Lower Limb Bones Segmentation in Radiographs with Different Orientations and Fields of View Based on a Contextual Network. International Journal of Computer Assisted Radiology and Surgery, doi : 10.1007/s11548-022-02798-7.
• Olory Agomma, Roseline, et al. (2019). Detection and Identification of Lower-Limb Bones in Biplanar X-Ray Images with Arbitrary Field of View and Various Patient Orientations, The IEEE International Symposium on Biomedical Imaging (ISBI), doi : 10.1109/ISBI.2019.8759456.
• Olory Agomma, Roseline, et al. (2018). Automatic detection of anatomical regions in frontal X-ray images: comparing convolutional neural networks to random forest, Society of Photo-Optical Instrumentation Engineers (SPIE), doi : 10.1117/12.2295214.

Scientific communications

• Olory Agomma, Roseline, et al. (2020). Artificial Intelligence Assisting Orthopaedic Imaging , Substance ÉTS.
• Olory Agomma, Roseline, et al. (2020) Identification of lower-limb bones in X-ray images with arbitrary field of view and various patient orientations, Academic day of the department of radiology, radiation oncology and nuclear medicine of the University of Montreal.
• Olory Agomma, Roseline, et al. (2018). Assisting Surgeons with Artificial Intelligence, Substance ÉTS.
• Olory Agomma, Roseline, et al. (2018) Automatic recovery of EOS images’ orientation via a convolutional neural network, International Society of Orthopaedic Surgery and Traumatology, SICOT.
• Olory Agomma, Roseline, et al. (2018) “Classification automatique d’images radiographiques à l’aide d’un réseau de neurones convolutif”, 20th Congress of CRCHUM students, interns and residents, CRCHUM.
• Olory Agomma, Roseline, et al. (2017) Automatic detection of the lower limb anatomical regions in frontal radiographs based on a convolutional neural network, Congress of the association of physicists and biomedical engineers of Quebec.
• Olory Agomma, Roseline, et al. (2017) Automatic detection of the lower limb anatomical regions in frontal radiographs based on a convolutional neural network, 37th research day of POES and the orthopedic division of the university of Montreal.

Awards and Recognition

• 2023 Winner of the postdoc-entrepreneur.e funding, IVADO.
• 2021 Laureate of the Palmarès Feminin Pluriel recognition, ÉTS.
• 2018-2021 CREATES Student fellow scholarship, McGill University.
• 2020 Recipient of the “substance” scholarship for the dissemination of research, ÉTS.
• 2017-2020 Recognition of Student Engagement Génie+, ÉTS.
• 2019-2018 Recipient of Arbour scholarship, Fondation Arbour.
• 2019-2018 Scholarship for the dissemination and promotion of research work, ÉTS.
• 2019 1st prize, “An exemplary plate for a prosperous land”, Entrepreneurship competition, Savoir Affaires. Team competition.
• 2019 Winner of the Steinberg Center Simnovation Award, McGill Clinical Innovation. Startup competition.
• 2019 Recipient of the 1st prize, Presentation contest for the surgical innovation program. Team competition.
• 2019 Recipient of the 3rd prize, Dobson Practicum. Startup competition.
• 2019 Recipient of the 2nd prize, Dobson Cup. Startup competition.
• 2018 Honorific scholarship Desjardins Foundation.
• 2018 Recipient of 1st prize at ÉTS and 2nd prize at international level, Les 24h d’innovation. Team competition.
• 2017 Recipient of the 3rd prize, APIBQ Congress Poster Contest.
• 2017 Recipient of the 3rd prize, Sara’s article abstract competition.

Volunteering

• 2022 Co-organizer and trainer of the Institute Intelligence and Data (IID) Bootcamp at Université Laval.
• 2017–2022 Godmother for the foreign student matchmaking program, ÉTS and Université Laval.
• 2017–2020 Les Ingénieuses, Student Club Énergie-ÉTS, ÉTS.
• 2018 Mentor for the «Classes Affaires» event, Montréal relève.
• 2017–2018 Co-responsible for events, ÉTS student association.
• 2017–2018 Animator for the discovered project, ÉTS.
• 2017 Vice-president marketing and communication, Student Club Énergie-ÉTS, ÉTS.
• 2017 Animator for the event «Classes Affaires», Montréal relève, LIO.
• 2017 Escouade RECYC-QUÉBEC, Grand Prix F1 du Canada.
• 2016 IEEE Workshop on Multimedia Signal Processing, (MMSP 2016).