Jack Bodine

Artifacts are tangible pieces of evidence demonstrating the skills and knowledge I’ve acquired from various learning experiences. Links labeled “currently unavailable” indicate either that I haven’t gotten around to publishing it or that the project contains exam/coursework which must remain private for furture iterations of the course. However, if you email me, I’ll try to expedite it.

November 2024

Comparative Analysis of Graph Neural Networks

Advanced Topics in Deep Learning

Report and Code Available Upon Request

As a final assignment in Advanced Topics in Deep Learning, I worked with a team to write a research report testing how different Graph Neural Network (GNN) architectures scale under computational constraints. We compared conventional GCNs, JKNet, and DropEdge, examining their performance while measuring FLOPs and MACs during inference. By varying hidden dimensions and layer counts, we assessed both accuracy and scalability across multiple graph datasets (Cora, Citeseer, PubMed).

Machine Learning, Research

March 2024

HCI Research Papers

Advanced Topics in Human Centered Computing

Available Upon Request

Advanced Topics in Human Centered Computing focused on the latest research in the field of HCI. We read several papers per class session and were tasked with writing three papers to demonstrate our understanding. I wrote a literature review on the current state of typing-based input methods for Virtual and Augmented Reality. Additionally, I designed an experiment proposal to investigate how people interact differently with anthropomorphic interfaces and wrote technical evaluations of several recently published papers related to ubiquitous design in computing.

Research, Human Computer Interaction, UI/UX Design

Skills

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