Masters Degree

For my masters, I am leveraging mathematical methods to approach several different problems when it comes to simulating, designing, fabricating and testing superconducting nanoelectronics. These electronics are tiny and are cooled down below 4 Kelvin. Through their highly non-linear behaviour, we can design a range of cool devices including a single photon detector and a single photon imager!

• I build efficient julia simulators for large-scale networks of non-linear superconducting devices.
• Build tools on top of existing simulators (like LTspice) that exploit them to give them new features and speed them up. See my project spice-daemon.
• Designing a new optimal scheme to characterize fabrication defects in superconducting electronics.
• Apply various mathematical tools ranging from gradient descent to space filling curves to design better devices.

Undergraduate Degree

I double majored at MIT graduating with a B.S. in Electrical Engineering and Computer Science and a B.S. in Mechanical Engineering and Quantum Information and Computation.

Over my time at MIT, I took a wide range of classes that cover quantum & information theory, quantum computing platforms, theoretical computer science, FPGA design, processor design, semiconductor physics, image processing, controls, thermofluids, mechanics and product design.

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• Spring 2022
  • Measurement and Instrumentation
  • Computer Systems Security
  • Music Technology
  • Quantum Complexity Theory
• Winter 2022
  • FPGA Design
  • Mechanical Engineering Tools
  • Battlecode: AI Player Strategies (listener)
• Fall 2021
  • Product Engineering Processes
  • Quantum Measurement
  • Technology and Culture
  • Mathematical Methods in Nanophotonics (listener)
• Spring 2021
  • Physics and Engineering of Superconducting Qubits
  • Linear Algebra
  • Probability and Random Variables
  • Digital Instrument Design
  • Science in Action: Technologies and Controversies in Everyday Life
  • Advances in Computer Vision (listener)
• Fall 2020
  • Superconducting Classical and Quantum Circuits
  • Digital & Computational Photography
  • Theory of Computation
  • Quantum Computation
  • Einstein, Oppenheimer, Feynman: Physics in the 20th Century
  • Solid-State Circuits (listener)
• Spring 2020
  • Microelectronic Devices and Circuits
  • Dynamics and Control
  • Robotics: Science and Systems
  • Automata, Computability, and Complexity
  • Thermal-Fluids Engineering
  • Numerical Computation
  • Introductory Biology
  • Archaeological Science
• Winter 2020
  • Introduction to Quantum Computation
  • WebLab: Web Programming
  • Mobile Autonomous Systems Lab
• Fall 2019
  • Computation Structures
  • Artificial Intelligence
  • Mechanics & Materials
  • Introduction to Design
  • Introduction to Linguistics
• Spring 2019
  • Differential Equations
  • Information, Entropy and Computation
  • Circuits and Electronics
  • Introduction to Medical Technology
  • Fundamentals of Programming
• Fall 2019
  • Multivariable Calculus
  • Electricity and Magnetism
  • Programming the Universe
  • Bioethics
  • Introduction to Solid-State Chemistry

Groups The Quantum Photonics Group (QPG) and The Quantum Nanostructures and Nanofabrication (QNN). I worked on 3 different research projects: