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I am a recent graduate of Columbia University with degrees in Computer Science and Electrical Engineering. Currently, I work with Professor Debasis Mitra to model the evolution of optimal information security investments and attacker-defender investment strategies within networks using reinforcement learning. This summer, I will also be working with Professor Mingoo Seok in Columbia's VLSI Lab on topics regarding hardware acceleration for deep learning. Prior to my current research, I interned at NASA Jet Propulsion Laboratory and NASA Langley Research Center. I plan to apply for PhD programs in Fall 2021 with the hope of continuing research into computer architecture and machine learning. Email / CV / Google Scholar / LinkedIn |
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Columbia University
College of William and Mary
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This section details several of the more important projects and research done throughout my undergraduate education and up to this point. Highlighted areas emphasize either a publication or an award. Projects are also color-coded to emphasize their respective fields as follows, |
Computer Science
Mathematics
Hardware
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The goal of this research is to more accurately model how a firm might approach investing optimally in information security on a larger, more realistic scale, and in response to continuous attacks. |
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We design and layout a fully custom 8-bit microprocessor core in Cadence Virtuoso using IBM's 90nm technology. It supports addition, subtraction, shifting, and storage/retrieval from SRAM. Extensive work went into sizing devices for optimal performance, ensuring the design was DRC and LVS clean, and simulating to verify metrics such as cycle time and power dissipation. |
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I aim to reduce the runtime complexity of Particle Swarm Optimization (PSO) by making use of parallel computing techniques on GPUs. Optimal use of shared memory, block size, and data transfer techniques are investigated. |
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This work outlines an end-to-end tool for integrating machine learning into the 3D printing process. It selects locally optimal printing parameters, taking into consideration factors such as part geometry, hardware and material response times, and operator priorities. The resulting prints show increased quality over prints that use only global parameters. |
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This work set out to understand how varying consumers' willingness to tolerate network delay affects steady-state ISP profits. By doing this, we gain key insights into several critical trade-offs at the heart of net neutrality. |
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Austin Ebel, Asher Goldfinger, Roberto Interiano, Andrew Moshova, Daniel Nissenbaum video We demonstrate the viability of augmented reality applications in future NASA missions by designing a tool using Microsoft's HoloLens to aid astronauts in extravehicular activities. |
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This section will more compactly describe some additional projects I've done (or am in the process of doing). These are bit more extracurricular, but still involve some internship and less-important academic work. |
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NASA JPL, 2019
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Senior Design, 2020
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Extracurricular, 2019-Present
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Extracurricular, 2015
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Extracurricular, in progress
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