Thursday, July 19, 2018

$3.7M in funding for AI and medical imaging project

Members of KIMIA working around a computet
Source: Daily Bulletin.

The University of Waterloo's Laboratory for Knowledge Inference in Medical Image Analysis (Kimia Lab) announced in May 2018 that its AI project for digital pathology has been awarded a grant by the Ontario Research Fund – Research Excellence program (ORF-RE). The project aims to develop an intelligent search engine for digital pathology that can retrieve relevant cases from large archives, auto-caption the images, and facilitate consensus building.

The Ontario government will fund the 5-year project with a grant in amount of $3.2M. Huron Digital Pathology, as the industrial partner of Kimia Lab, will contribute $500k to the project. The company is the only Canadian manufacturer of digital scanners for pathology. Four professors from the University of Waterloo (Mark Crowley, Ali Ghodsi, Oleg Mikhailovich, and Hamid Tizhoosh), together with the machine learning group at the University of Guelph led by professor Graham Taylor (Vector Institute), and professor Shahryar Rahnamayan (UOIT) will collaborate with three hospitals to design and test an advanced search engine for large pathology archives. Grand River Hospital (Kitchener, ON), Southlake Regional Health Centre (Newmarket, ON) and University of Pittsburgh Medical Center (PA, USA) will not only provide data but also validate the results of the project.

Continue reading on the Daily Bulletin

Monday, July 16, 2018

Congratulations Professor Ruodu Wang, recipient of the NSERC DAC award!

Ruodu Wang

Professor Ruodu Wang received a $120,000 Discovery Accelerator Supplement (DAC) from the Natural Sciences and Engineering Research Council (NSERC) for a proposal titled “Model Uncertainty and Robustness in Risk Management.”

Monday, July 16, 2018

Nursing notes can help indicate whether ICU patients will survive

Nurse writing up her notes

Researchers at the University of Waterloo have found that sentiments in the nursing notes of health care providers are good indicators of whether intensive care unit (ICU) patients will survive. 

Hospitals typically use severity of illness scores to predict the 30-day survival of ICU patients. These scores include lab results, vital signs, and physiological and demographic characteristics gathered within 24 hours of admission. 

Tuesday, July 10, 2018

The Department of Statistics and Actuarial Science is pleased to welcome Assistant Professor Samuel Wong as of July 1st 2018.

Samuel Wong

Samuel Wong (PhD 2013, Harvard University) joins our department from the University of Florida where he was an Assistant Professor.  Samuel's research focuses on developing analytical methods to tackle data-driven problems arising in scientific domains. Currently, his main applications of interest are protein structure prediction, learning dynamic systems in biology, and quality assessment of forest products. Statistical areas featured in his work include Bayesian modeling, Monte Carlo methods, and approximate inference strategies. With his data science focus, Samuel is keen on solving problems arising through collaboration, where both principled methodology and large-scale computation are needed.  To learn more about Samuel's research, please visit his website.

Wednesday, June 27, 2018

Analyzing the meta data of Hillary Clinton’s emails

Data visualization of Hilary Clinton emails sent/received times as provided by Wikileaks

Throughout the 2016 US presidential campaign, Hillary Clinton’s private email server was a hot topic. A University of Waterloo professor and senior undergraduate student have now built a tool to analyze the contents of the server.

Wednesday, June 20, 2018

Honorary Degree recipient Robert Tibshirani

The text from Prof. Robert Tibshirani's honorary degree speech is no available online. Please follow the link below to read his speech.

Honorary degree speech by Robert Tibshirani.

Please join us as the Department of Statistics and Actuarial Science hosts a Q & A session with honorary degree recipient Robert Tibshirani.  This event will be taking place on Friday June 15 from 10:00 a.m. to 11:15 a.m. in M3 3127.  Refreshments will be provided.

At 2:30 p.m. Robert Tibshirani, a Waterloo alumnus and among the top statisticians today, will receive an honorary Doctor of Mathematics and address convocation. His work has shaped the future directions of theoretical and applied statistics. He is a full professor at Stanford University, where he holds appointments in the Department of Biomedical Data Sciences and Statistics.

Source & continued reading : Waterloo News
Tuesday, June 19, 2018

Bench Dedication Ceremony in honor of Dr. Godambe

Godambe Benches

Source: Samantha Mahoney - Math Advancement

On June 1, 2018 the Faculty of Mathematics held a Bench Dedication Ceremony in honor of Dr. Vidyadhar Prabakhar (V.P.) Godambe in the Mathematics 3 (M3) Atrium. The afternoon was a beautiful one, filled with memories, stories, paintings, photos, and of course, the official presentation of the Godambe benches.

Memorials such as this are important because they act as historical touchstones. They are a source of inspiration and information for young people, and offer an insight into the history of an area.  The one unveiled that day, adjacent the to the Statistics and Actuarial Science building is a quiet place just off the beaten path. It is the ideal commemoration of Dr. Godambe, and his great impact for the Department.

Thursday, June 14, 2018

Recognizing Excellence Series

Recognize Excellence Banner

The Faculty of Mathematics is exceptionally proud of our alumni for their outstanding accomplishments, innovation, and achievements within their research, communities, and professions.

Join us for an afternoon of discussions presented by Alex Nicolaou, 2018 J.W. Graham Medal recipient and Rob Tibshirani and Anand Pillay, 2018 Honorary Doctorate recipients.

To register for this event, please visit the Recognizing Excellence Series event page.

Wednesday, May 16, 2018

Students win $25,000 at the Waterloo Data Open

Winning teams with the judges and Correlation One and Citadel representatives

Photography by Jon White

Over 100 undergraduate and graduate students gathered in Mathematics 3 early Saturday morning to tackle large datasets at The Data Open, a competition that brings together the best minds in mathematics, engineering, science and technology to collaborate and compete using the world’s most important data sets. Students received the data sets at 8:00 a.m. and, in teams of three to four, had until 3:30 p.m. to analyze the data, extract meaningful insights, and propose solutions to a socially impactful problem.

Wednesday, May 9, 2018

Celebrating 2nd annual DataFest competition at the University of Waterloo

DataFest Participants

While challenging, DataFest 2018 was an incredibly rewarding experience that taught us about the nuances of real world data, resilience and the power of team work

Yuan Yuan Mandy Gu, Statistics and Pure Math student. Winner of the 'Munich Re Best Insight' award

Over 100 undergraduate students spent 48 hours on campus analyzing and applying data as they competed in the 2018 ASA DataFest competition this past weekend. Worldwide, more than 2,000 students participate in this competition at several of the most prestigious colleges and universities.

For two consecutive days, students worked around the clock to put their data analysis skills to the test with more complex data than what they would normally be exposed to in class. Once the data is analyzed, groups had only two slides and five minutes to convince the judges that the conclusions they drew from the data were deserving of one of three titles: Munich Re Best Insight, Best Use of External Data, or Best Data Visualization.

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