Matthew van Bommel
NBA Analyst, Sacramento Kings
"My daily work can essentially be summarized by one statement: using data to help the team win, both now and in the future. In terms of the data used, the main focus is on player tracking data, which gives the (x,y) positions of every player 25 times a second in every NBA game. Using this data along with statistics and machine learning techniques, I try to develop methods to evaluate players and strategies and predict future performance and outcomes."
"My time at Acadia definitely helped to prepare me for this job, both through the classes I took as well as my work as a research assistant. My professors not only taught me a wide range of statistics techniques and theory, but also problem solving and critical thinking skills. Additionally, I had great supervisors who helped me develop my abilities in computational statistics and research. The knowledge and skills I gained at Acadia have been instrumental in my current position. "
Medical Physics Researcher, University of Alberta
Amanda Swan is currently working on a Master's in Medical Physics at the University of Alberta, after completing a PhD in Applied Math, also at the University of Alberta. Both her PhD work and current Master's work involve the application of mathematical models in the treatment of cancer. Her PhD project involved the application of PDE's to predict the growth of brain tumours, while her current Master's project focuses on a model that predicts the dose deposited at each point within a patient for a given radiation beam configuration.
Amanda graduated from Acadia with a BScH in 2011, and her time at Acadia both prepared her for future pursuits, as well as opened her eyes to the extensive world of Applied Math. Due to the small class sizes, and focus on undergraduate education, she had the opportunity to partake in undergraduate research for several years, working on modelling tidal power output in the Bay of Fundy. This project piqued her interest in real world applications for mathematics, and she began to explore other examples of mathematics impacting real world problems. Ultimately, this lead her to finding the brain tumour project that brought her to Alberta. Beyond the academics, Acadia provided a wonderful community feel that was truly unlike what students experience at larger schools, making the entire experience invaluable.
Photo Credit: Margo Yacheshyn
Jeffrey L. Andrews
Statistics Professor, UBC
Jeffrey L. Andrews (Honours BSc in Mathematics and Statistics, 2008) is currently an Assistant Professor of Statistics at the University of British Columbia’s Okanagan Campus in Kelowna, BC. His research investigates the usage of statistical models for discovering hidden groups in data — an interest first piqued during his undergraduate studies at Acadia. “My time at Acadia lay the foundation for my current career through skills gained from completing coursework, summer research, and teaching assistantships,”. Those skills he gained at Acadia have since been recognized by way of several scholarships, research grants, and recently a young researcher award from an international academic society. Despite now living on the opposite end of Canada, he still returns to the Annapolis Valley each summer to visit friends and family: “Some of my closest friendships arose from either shared classes or living in residence at Acadia. Frankly, it's hard to imagine my life void of my time in Wolfville."
Educator, Vancouver Community College
Natasha Mandryk is a community college instructor who works with a diverse group of adults to help them not only conquer a course, but examine their math identities to expand their academic potential. Many of her students (from grade 10 to linear algebra) share a feeling of inadequacy and fear of failure. It's her belief that cultivating an expectation of struggle and perseverance can help adult learners succeed. In simple terms: Math is hard for everybody, and it's worth doing! She has worked at UBC Okanagan and Thompson Rivers University - Open Learning, and now works at Vancouver Community College, teaching adult basic education (grade 10-12) alongside university transfer classes.
Natasha graduated from Acadia University in 2009 with a MSc in Mathematics and Statistics. Her time at Acadia was her introduction to identifying and addressing common student challenges. (Working in the MASH unit was great training!) She credits Acadia's collegial environment and focus on individual relationships as models for her own values.
Math Education Researcher, UBC
"When I arrived at Acadia University, I was a student who generally, but casually, enjoyed mathematics. Throughout my time as an undergraduate in their Math and Stats department, this interest was cultivated into a much deeper curiosity of the subject and how it is taught. Acadia was an incredible place for me to begin developing as a mathematician; the small classes and caring, talented professors meant that as a shy student, I never fell through the cracks. On the contrary, I was explicitly encouraged to push further and dream big."
"Spurred by such encouragement, after graduating with my BScH in 2007, I pursued graduate work at Simon Fraser University, graduating first with my MSc, and then PhD in math in 2014. Since then, I have focused my attention on post secondary math education: I have held positions as an instructor and curriculum developer at SFU and am currently Science Teaching and Learning Fellow in the math department at UBC - all while working on an MA in math education. It has been a path filled with rich and rewarding work, and I am very much looking forward to a career math education in an academic environment."
BScH, 2012 (Co-op)
Actuary, Sun Life Financial
Blake MacDonald is currently a valuation actuary working for Sun Life Financial in Waterloo, Ontario. His day-to-day work varies, and focuses on long-term initiatives while balancing financial reporting requirements. “I’ve been fortunate within my relatively short career to have been involved with some interesting projects; from the full redesign of Sun Life’s suite of life insurance products in response to changes in the Canadian Tax Act, to the implementation of a new capital regime.”
"I wouldn't be where I am today without the diverse opportunities I had while studying at Acadia. The small class sizes facilitated close interactions with staff, and the size of the school encouraged developing a network of students across multiple disciplines.” Blake also benefited immensely from the co-op program at Acadia. Co-op helped him develop experience and create a network of contacts who continue to help him even in his career today.
Business Analyst, IBM
Kanika Anand is an IT professional in the Business Analysis practice of IBM Global Business Services. At IBM she works in business operations, data analytics and quality management. She utilizes her strong prioritization skills and analytical ability to contribute to a high performing team. She identifies important skills as including human resource management, mentorship and team leadership.
While at Acadia, Kanika studied and trained in predictive data analytics and the use of data analysis tools, while honing her research writing skills. During her Co-op she worked as a researcher with the Provincial Government of Nova Scotia which led to a publication in a peer-reviewed journal.
PhD candidate, CMU
Neil is currently pursuing doctoral studies in a joint program at the Department of Statistics & Data Science, and the Machine Learning Department at Carnegie Mellon University. His research is at the intersection of point process models, network models, and efficient Bayesian inference, with applications in Forensic Science, the social sciences, and neuroscience. He's co-advised by Professors Rob Kass and Cosma Shalizi. Neil received a BScH in Mathematics and Statistics from Acadia in 2013, and my MSc in Statistics from University of British Columbia in 2015. In his free time, he likes to play ultimate frisbee, boardgames, and fantasy hockey. He is also a fan of stand-up comedy.
Machine Intelligence Developer, CBC
Jon is currently a Machine Intelligence Developer at the Canadian Broadcasting Corporation (CBC) in Toronto. His work is in developing recommendation systems to help users effectively discover CBC content they might like, including articles, videos, music, and tv shows. This is all done through the application of modern machine learning techniques and at-scale cloud computing, as well as data science and statistics for analyzing large quantities of user data. Before CBC, he was a Computer Vision Intern at a small Toronto startup (Curv Labs) and graduated with an MSc. in Computing Science at SFU.
Jon graduated from Acadia in 2016, with a BScH in Mathematics & Statistics and a second major in Computer Science. He began learning a significant amount of the skills for his line of work at Acadia, including machine learning, probability, and solid programming skills. His thesis work in the Math department exposed him to large scale data and mathematical programming with Python, which has proven instrumental in his work in applied machine learning. The openness to collaboration and active research for undergrads at Acadia gave a strong underpinning for future independent research and scientific pursuits.