Dr. Aleeza Gerstein has received the prestigious CIFAR Azrieli Global Scholar Award. Dr. Gerstein’s research applies evolutionary principles and computational and statistical methods to understand the acquisition of drug resistance and virulence in human fungal pathogens. You can learn more about the award and Dr. Gerstein here.
VADA Program Features
Dr. Aleeza Gerstein recipient of CIFAR Azrieli Global Scholar Award
Posted on May 31, 2021
VADA Program Features
VADA Program Faculty Julien Arino Julien Arino receives Radio-Canada Scientist of the Year Prize
Posted on January 20, 2021
Dr. Julien Arino has been recognized by Radio-Canada for his work as part of Canadian data modelling teams whose work has supported, informed and guided decision-making by public-health bodies and governments relative to management of the COVID-19 pandemic response. You can learn more about his contributions here
VADA Program Features
VADA Program Student Margot Henry Featured in UMToday
Posted on November 6, 2020
How are statistics applied during a pandemic? VADA Program Student Margot Henry has been working with COVID-19 hospitalization data and you can find out more here
VADA Program Features
VADA Program Alumni Featured in UM Today
Posted on February 6, 2020
VADA Program MSc alumni Marcello Nesca (2018 cohort) was featured in an article in UM Today which can be read here.
VADA Program Features
VADA Program Trainee Story Feature
Posted on January 13, 2020
VADA Program Trainee Amr Farghali has been featured on the Health Information Science website. The story can be found here
VADA Program Features
VADA Program Alumni Featured in UM Today
Posted on January 7, 2020
VADA Program alumni Viktoriya Vasylkiv is interviewed about her experience in the program and how it has informed her career planning. The article can be found here
VADA Program Features
Dr. Lisa Lix and VADA Program Featured In Wave Magazine
Posted on June 19, 2019
In this month’s Wave Magazine feature article, Dr. Lisa Lix (VADA Program Leader – University of Manitoba) is featured for her key role in a five-year strategic plan to help develop the technological capacity needed to leverage advances in big data analytics. In partnership with stakeholders such as the University of Manitoba’s Rady Faculty of Health Sciences, the Winnipeg Regional Health Authority, and the Manitoba Centre of Health Policy, this strategy aims to produce better health research and patient care for Manitoba.
VADA Program Features
The VADA Program Summer School Big Data Challenge featured in UM Today
Posted on May 15, 2019
“Students in the Visual and Automated Disease Analytics (VADA) program this summer will take part in an intensive two-day competitive workshop that gives them a unique opportunity to work with authentic pre- and post-natal nutrition research data.
The session will follow a fast-paced challenge structure where the students will be placed into teams and given two days to find novel solutions to the problems put forward by Dr. Meghan Azad, Canada Research Chair in developmental origins of chronic disease at the University of Manitoba, based on her research into breastmilk.
“It reminds me of American Idol, where strangers are put into teams and work intensively over a short period of time to create a performance together – except here, the challenge is a complex data problem instead of a song,” said Azad, assistant professor, pediatrics and child health, Max Rady College of Medicine and research scientist at Children’s Hospital Research Institute of Manitoba.”
Read more here
VADA Program Features
VADA Program Feature in UM Today
Posted on March 13, 2019
VADA Program student Olawale Ayilara is interviewed about his experience in the program and his recent internship with the Canadian Network of Observation Drug Effect Studies (CNODES) in UM Today and can be found here
VADA Program Features
VADA Program Feature in UM Today
Posted on March 13, 2019
VADA Program alumni Rayhan Shikder is interviewed about his experience in the program and his recent internship at the iFLYTEK Laboratory for Neural Computing and Machine learning in Toronto in UM Today and can be found here