Raymond Ng
Scientific Director, Computer Science
Automating machine learning of interatomic potentials for green technologies
A research team led by Drs. Christoph Ortner (Mathematics), Joerg Rottler (Physics), and Chad Sinclair (Materials Engineering) were awarded postdoctoral funding from the UBC Data Science Institute. This project will develop and standardize methodology to quickly generate new robust machine-learned potential models (MLPs) to accelerate the advancement of new sustainable technologies. The hope is that the methods developed will significantly reduce environmental and ecological risks by bringing green technologies to market quickly.
Robust, transferable and interpretable natural language processing of psychiatric clinical notes
The UBC Data Science Institute is excited to fund a collaboration between Drs. Elodie Portales-Casamar (UBC Department of Pediatrics) and Giuseppe Carenini (UBC Computer Science) titled, "Robust, transferable and interpretable natural language processing of psychiatric clinical notes." The team includes postdoctoral fellow Dr. Ahmed Abura'ed, Dr. Ali Eslami (UBC Department of Psychiatry), and Ali Mussavi Rizi (PHSA).
Optimal placement of low-cost air quality sensors in Metro Vancouver to better predict air quality exposure
Drs. Naomi Zimmerman (UBC Mechanical Engineering) and Amanda Giang (UBC Institute for Resources, Environment & Sustainability) were awarded funding for their pilot project “Optimal placement of low-cost air quality sensors in Metro Vancouver to better predict air quality exposure”. This project seeks to develop efficient models for monitoring and predicting air quality in urban centres by leveraging anonymized 5G mobile location data with weather and air quality surveys.
Blessings and curses of overparameterized learning: Optimization and generalization principles
Drs. Christos Thrampoulidis and Mark Schmidt are teaming up to address unresolved challenges in the training of neural networks and its applications. With this postdoctoral funding award from the Data Science Institute, the team will combine their expertise in optimization and high-dimensional statistical learning theory to design more efficient training algorithms that are better suited for real-world use.
Quantifying the cascade effects of mining on terrestrial and aquatic ecosystems in the North American context
A team of UBC and SFU researchers led by Dr. Nadja Kunz was awarded DSI postdoctoral matching funds for their project that will examine the impacts of mining on the environment. Specifically, the team will build advanced statistical models using newly available data sets to better understand how mining is influencing hydrological variability, wildfires, and other environmental disturbances in Canada.
Data Science & Composite Materials Manufacturing; NSERC Allicance
A two-year NSERC Alliance grant was recently awarded to a consortium of two University of British Columbia research clusters--the Composite Research Network and Data Science Institute--for their project "Data Science & Composite Materials Manufacturing". This project aims to apply breakthroughs in data science, machine learning, and probabilistic programming to innovate and accelerate manufacturing and design of composite materials, specifically for the aerospace sector.
Visual analytics support for the HEiDi virtual physician COVID-19 deployment
Drs. Tamara Munzner and Kendall Ho were award DSI funding for their project, "Visual Analytics Support for the HEiDi Virtual PHysician COVID-19 Deployment." This project will leverage advances in data visualization and analytics to optimze the delivery of telehealth care to patients stricken with COVID-19. The outcomes will help health system experts to gain a holistic snapshot of the current care system and expedite analysis and decision-making.
Musqueam First Nation land acknowledegement
We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.
Learn more: Musqueam First Nation
Faculty of Science
Office of the Dean, Earth Sciences Building2178–2207 Main Mall
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