Work History

Alberta Health Services

Machine Learning Consultant  (Mar 2024 - Present)

• Proposing and prototyping machine learning solutions tailored to the needs of the Provincial Population and Public Health (PPPH) Division

• Designing and delivering educational materials, including lectures, workshops, and terminology glossaries, to equip Alberta Health Services employees with foundational knowledge and best practices for implementing machine learning in healthcare settings

Vector Institute

Project Management Intern  (Sep 2022 - Dec 2022)

• Capturing, condensing, perfecting, and expanding upon over 300 important takeaways from twelve Thought Leadership: Managing AI Risk roundtable discussions; supporting the execution of this project through event planning and communicating with stakeholders

• Leading four teams of 3-5 through two iterations of Vector’s three-day Time Series Forecasting Bootcamp as project management facilitator

Alberta Machine Intelligence Institute (Amii)

AI in Genomics Consultant (Feb 2024 - Mar 2024)

• Crafting a comprehensive curriculum outline for the upcoming AI+Genomics Massive Open Online Course (MOOC), outlining key learning objectives, course materials, and instructional strategies to teach how one can enhance genomic research through artificial intelligence

Machine Learning Facilitator (Work-Integrated Learning Opportunity)  (Sep 2021 - Jan 2022)

• Educating 20-80 industry clients per month about Artificial Intelligence by delivering Machine Learning Foundations 1 and 2; promoting concrete steps for the AI-based transformation of small-to-medium sized enterprises within and beyond Alberta

Machine Learning Intern  (May 2021 - Aug 2021)

• Furthering the field of plant genomics by employing deep-transfer learning techniques to predict DNA expression, proposing a simple model that out-performs recent methods, and contributing five notable insights into the behavior of plant gene-enhancers

• Implementing a modular machine learning pipeline (which supports Cloud-based data preprocessing, model definition, and training) for the National Research Council’s use in proofing Canadian agriculture against climate change
  
  

Graduate Research Fellow, Undergraduate Research Assistant  (Sep 2018 - Apr 2021)

• Implementing techniques that compress genetic datasets by over 99.5% with no significant information loss, allowing for the computational feasibility of transcriptome-based survival prediction for cancer patients

• Motivating and demonstrating novel metric that evaluates the quality of individual survival distributions with applications in the treatment of terminally-ill hospital patients

University of Alberta

Graduate Teaching Assistant  (Sep 2021 - Dec 2021)

Faculty of Graduate Studies and Research, Department of Computing Science

• Developing course material, hosting office hours, and grading quizzes and assignments to aid the delivery of CMPUT 497/501: Introduction to Natural Language Processing

Research Intern (Jan 2020 - May 2021)

Alberta School of Business, Department of Accounting and Business Analytics

• Improving 30-day all-purpose hospital readmission prediction by 26% compared to baseline by integrating 571 million rows from Alberta Health Services datasets using Natural Language Processing and Statistical Machine Learning

• Working with computing scientists, administrative professionals, and physicians to see the completion of an interpretable and scalable unplanned hospital readmission prognosis system

Undergraduate Research Assistant  (May 2020 - Aug 2020)

Faculty of Science, Department of Biological Sciences

• Developing two novel, data-driven techniques for estimating the heritability of complex diseases, which contributed compelling insight into the “missing heritability problem”