CV - Armanpreet Pannu

University of Toronto May 2020 - Present

Research Area: Quantum Photonics, Quantum Metrology, Quantum Information, Quantum Computing
- Developed a novel method to model light-environment interaction motivating several new areas for quantum enhancement in applications including lidar, imaging, and communication.
- Devised and characterized a multi-photon state to generalize the standard GHZ state overcoming the single-photon limitation of many previous quantum-enhanced protocols.
- Developed a quantum imaging setup in the lab able to create images with upwards of 43 dB noise-resilience compared to comparable classical setups.
Invited to spend three months at University of Sydney as a visiting researcher.
Fully funded by the prestigious "Queen Elizabeth II Graduate Scholarship in Science and Technology" and "Edward S. Rogers Graduate Scholarship".

University of Toronto Sep 2018 - May 2020*

Research Area: Quantum Machine Learning, Statistical Learning Theory
- Worked on generalizing statistical learning theory with quantum resources.
- Worked on characterizing the learnability of tensor-networks states such as matrix product and tree-tensor network states.
Invited to spend three months at University of Sydney as a visiting researcher.
Funded in part by the "Malcolm Slingsby Robertson Fellowship in Mathematics".

*Candidacy achieved but degree not completed due to unforeseen passing of my advisor

University of Toronto Sep 2017 - Sep 2018

Research Area: Mathematical physics, Algebraic geometry
Thesis: Motivic Structure of Feynman Graphs in the Grothendieck Ring
- Formulated an inductive approach to classify melonic Feynman graphs within the Grothendieck ring, enhancing theoretical insights into their algebraic structures.
- Introduced symbolic representation techniques for complex graphs, boosting computational efficiency and analytical clarity.

University of Toronto Sep 2013 - Apr 2017

Graduated with "high-distinction" and "Dean's list" in all four years
Funded by U of T entrance scholarship and multiple in-course scholarships across four years
Thesis: Design and Testing of SRF Particle Accelerator Cavities

Department of Mathematics and Engineering, Universtiy of Toronto May 2020 - Present

Instructed three courses repeatedly across multiple semesters in Mathematics and Engineering.
Designed effective lesson plans and assessments to enhance and assess student learning.
Managed classroom logistics and facilitated effective communication channels to ensure smooth course operations.
Led and supervised teams of 5-10 teaching assistants, fostering a collaborative environment for student success.

Department of Mathematics, University of Toronto Sep 2015 - Apr 2022

Instructed over 20 sections spanning diverse range of courses, including leadership roles as Head TA.
Developed and delivered engaging tutorials, conducted comprehensive grading, and provided office hour support to enhance student learning and success.
As Head TA, led curriculum development efforts, managed and trained large teams of 20-40 TAs, and ensured high-quality grading standards across all managed courses.

Department of Physics, University of Toronto May 2015 - Aug 2017

All projects funded by either NSERC USRA or Physics SURF awards
Several research projects across multiple labs and disciplines:
- Ocean Physics: Ran simulation in Fortran to discover conditions that contribute to the formation of solitons and tsunamis in the ocean.
- Photonics: Analyzed photon correlations in waveguide arrays analytically and using Mathematica aiding in the design of integrated chips.
- Particle Accelerators: Designed two methods to test and improve the performance of SRF particle accel- erator cavities at TRIUMF national laboratories.
- Particle Physics: Analyzed datasets from the large hadron collider using machine learning tools in Python and C++ to verify the discovery of the Higgs Boson.