Emma Young

• Phone: +1 416 555 0123
• Email: emma.young@email.com
• Location: Toronto, Canada
• LinkedIn: emma-young-cs-edu

Summary

Over 12 years of experience in computer science instruction and curriculum development at the postsecondary level, specializing in artificial intelligence and data structures. Successfully mentored over 20 graduate students through thesis completion and published 15 peer-reviewed articles on machine learning algorithms. Proven ability to foster engaging learning environments and contribute to cutting-edge research initiatives.

Experience

Associate Professor of Computer Science, University of Toronto -- Toronto, Canada

Sept 2018 – present

• Designed and delivered advanced undergraduate and graduate courses in Machine Learning, Data Structures, and Algorithm Design to an average of 150 students per semester.

• Secured over $500,000 in research grants for projects focusing on explainable AI and natural language processing.

• Supervised 10 PhD candidates and 15 Master's students, with 90% of graduates securing positions in leading tech companies or academic institutions.

• Chaired the departmental curriculum committee, leading the successful integration of new cybersecurity and cloud computing modules.

Assistant Professor of Computer Science, Ryerson University (now Toronto Metropolitan University) -- Toronto, Canada

Sept 2012 – Aug 2018

• Developed and taught core computer science courses including Introduction to Programming, Object-Oriented Design, and Database Systems.

• Published 8 research papers in reputable journals and conference proceedings on topics related to distributed systems and parallel computing.

• Mentored undergraduate students in capstone design projects, resulting in two projects winning university-wide innovation awards.

• Participated in faculty recruitment committees, contributing to the hiring of five new faculty members.

Lecturer in Computer Science, York University -- Toronto, Canada

Sept 2010 – Aug 2012

• Delivered lectures and conducted lab sessions for foundational computer science courses, including Discrete Mathematics for Computer Science and Operating Systems.

• Assisted in the development of course materials and assessment strategies for various undergraduate programs.

• Provided academic advising to over 50 undergraduate students, guiding them on course selection and career pathways.

Education

University of Waterloo, Ph.D. in Computer Science -- Waterloo, Canada

Sept 2006 – Aug 2010

McGill University, M.Sc. in Computer Science -- Montreal, Canada

Sept 2004 – Aug 2006

University of British Columbia, B.Sc. in Computer Science -- Vancouver, Canada

Sept 2000 – Aug 2004

Skills

Teaching Methodologies: Curriculum Development, Course Design, Active Learning Strategies, Online Pedagogy, Student Mentorship, Assessment Design

Programming Languages & Tools: Python, Java, C++, R, MATLAB, SQL, Git, Docker, TensorFlow, PyTorch

Computer Science Domains: Machine Learning, Artificial Intelligence, Data Structures & Algorithms, Operating Systems, Database Management, Software Engineering, Distributed Systems

Research & Publication: Grant Writing, Academic Publishing, Peer Review, Statistical Analysis, Data Visualization, Experimental Design