Aviraj Newatia

Aviraj Newatia

he/him

Machine Learning Researcher

Honours Bachelors of Science (In Progress)

Computer Science Specialist

Focus in Artificial Intelligence, Computer Systems

Relevant Courses:

  • CSC110: Foundations of Computer Science I
  • CSC111: Foundations of Computer Science II
  • CSC240: Enriched Introduction to the Theory of Computation
  • CSC207: Software Design
  • CSC265: Enriched Data Structures and Analysis
  • CSC209: Software Tools and Systems Programming
  • CSC258: Computer Organization
  • CSC324: Principles of Programming Languages
  • CSC373: Algorithm Design, Analysis, and Complexity
  • CSC384: Introduction to Artificial Intelligence
  • CSC311: Introduction to Machine Learning
  • CSC369: Operating Systems
  • CSC463: Computational Complexity and Computability
  • CSC413: Neural Networks and Deep Learning
  • CSC473: Advanced Algorithm Design
  • CSC488: Compilers & Interpreters
  • CSC494: Capstone Design Project with Dr. Rahul Krishnan:
    • Machine unlearning algorithms for data removal

Mathematics Major

Relevant Courses:

  • MAT137: Calculus with Proofs
  • MAT223: Linear Algebra I
  • MAT224: Linear Algebra II
  • MAT237: Multivariable Calculus with Proofs
  • MAT244: Introduction to Ordinary Differential Equations
  • STA257: Probability and Statistics I
  • MAT301: Groups and Symmetries
  • MAT334: Complex Variables
  • APM462: Nonlinear Optimization

Department of Computer Science Undergraduate Affairs Committee Member

I was invited to be one of two undergraduate students to sit on the Department of Computer Science Undergraduate Affairs Committee. The Undergraduate Affairs Committee reviews items related to undergraduate programs, courses, and services in Computer Science, including items like proposals for new courses, updates to the calendar descriptions or prerequisites for existing courses, changes to Focuses, and changes to undergraduate departmental policies or practices. As a member of the committee, I am expected to share my perspective on how items might affect my experience or opportunities as a student, and whether proposed changes align with student needs and priorities.

Director of Academic Affairs at the Computer Science Student Union

My focus in my position as Director of Academic Affairs is to create a richer academic and research environment for undergraduates.

I have initiated, and I am leading, the creation of the first-ever STEM Undergraduate Research Journal at the University of Toronto, St. George Campus. The journal aims to provide a platform for undergraduate students to publish their research in Computer Science, Mathematics, Physics, or Chemistry with plans to expand to other STEM fields.

Additionally, I have spearheaded the running of a biweekly seminar series called the CSSU Undergraduate Colloquium, where undergraduate students present their research to their peers. This initiative aims to foster a community of undergraduate researchers and provide a platform for students to practice their presentation skills.

As part of my role, I have chaired the CSSU Professor’s Panel, where students have the opportunity to ask professors questions about their research, career paths, and advice on how to get involved in research and for academic advice in general. I have also been heading the CSSU Academic Committee, leading a team of 6 committee members to run and organise academic events for the Computer Science student body.

Furthermore, I am working towards running research poster sessions for computer science students who involve themselves in research through one of the many programs at the University of Toronto, such as the Research Opportunity Program (ROP), Work-Study program, through volunteering, or through the independent faculty supervised projects (CSC494/CSC495). The poster sessions aim to provide students with an opportunity to showcase their research to their peers and faculty members and gain valuable feedback and experience in presenting their work.

In collaboration with multiple different organisations, I have played an instrumental role as part of the Computer Science Student Union in facilitating, organising, and running HackThe6ix 2024, the inaugural Toronto Bioinformatics Hackathon, and the upcoming EigenAI Conference.

I have also been created a mentorship program for incoming students to the Computer Science program at the University of Toronto. The program aims to pair incoming students with upper-year students to help them navigate the program and provide them with a support system.