Camron Blackburn

camron [dot] blackburn [at] cba [dot] mit [dot] edu

I'm a Research Assistant at MIT's Center for Bits and Atoms, focusing on energy efficient computing with zeptojoule superconducting devices and asynchronous spatial computing models. I completed my masters degree in September 2021, with a thesis on asynchronous superconducting digital logic that you can check out here. I'm currently in the first year of my PhD.

I am interested in reconfigurable, modular, and distributed computing systems that allow for better physical alignment of hardware with software; leading to improvements in power consumption, while also lowering the barrier for domain-specific hardware design [DICE]. I focus on designing digital logic circuits with superconducting quantum flux parametron (QFP) devices - these reversible switching elements bypass the theoretical Landauer limit on energy dissipation, demonstrating zeptojoule energy loss per bit. However, large scale integration of these devices is difficult due to Josephson junction density limitations on superconducting chips. I aim to develop modular and asynchronous circuit designs that will not only bypass these density limitations, but also lessen the reliance on immature superconducting electronic design automation (EDA) tools by enabling scalable, multi-chip models for custom hardware design.

Before moving to Cambridge, I lived in NYC working at a data science / software engineer for Veritone, where I built hierarchical deep learning model for various AI tasks - mostly applications in computer vision. And prior to that, I received a bachelors in Physics with high honors from NYU while building an optical tractor beam in Professor David Grier's soft matter research group.

Feel free to reach out if we share interests!


physics of information technology | Spring 2022
how to grow (almost) anything | Spring 2022
how to make something that makes (almost) anything | Spring 2021
nature of mathematical modeling | Spring 2020
how to make (almost) anything | Fall 2019


COVID-19 Response : filter material database

CBA spun up a quick response team to the COVID-19 global pandemic - public tracking page is here. I developed an instrument to test the filtration efficiency and pressure drop accross different types of filter material - more on that here. Using the data from this instrument and SEM imaging, I'm generating a databse of filter media with the hope to guide DIY mask material selection and development of new filtration material for PPE - more here. If you have any questions about, application for, or interest in the project - feel free to reach out.