Hello there!Currently, I’m a computer science student at the University of California, Santa Barbara. I will graduate with my Bachelor of Science in the Spring of 2025 and continue to graduate with my Master of Science in the Spring of 2026. I plan to pursue a research path, which likely will require me to obtain a PhD. I feel my learning has just begun; education is a lifelong commitment.Originally, I’m from Burlington, Washington, a semi-rural farm town about an hour north of Seattle. I love the Pacific Northwest and consider it my home, however, Santa Barbara is hard to beat. I consider myself extremely blessed to study at a university in such a beautiful place.My interests lie in all sorts of areas: randomized algorithms, graph theory, and graph neural networks. I’m also an outdoors fan, and I love to hike, camp, and run.Connect with me!
Max.Live
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- Employees:
- 60
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Software Engineering InternMax.Live Jun 2024 - Present• Delivered algorithms to gather and format various metadata for 1000s of artist sites into well-structured JSON, improving data collection times by up to 1,500%.• Developed and tested Cloudflare Workers for backend using Vitest and Node.js, enhancing scalability and performance.• Engineered a high-performance, lightweight library for system-wide schema generation and type validation, converting TypeScript types to JSON schemas and verifying data types. -
Undergraduate Student ResearcherUc Santa Barbara Sep 2023 - PresentSanta Barbara, California, United StatesDynamo Lab (Dr. Ambuj K. Singh)--Targeted Edge Perturbations on GNNs• Approximate the robustness of 5 graph neural network architectures to edge perturbations, contrast results to adversarialattack responses.• Evaluate the effectiveness of 4 heuristic approaches to maximize edge additions while preserving model accuracy.• Invented a two-part greedy-primed gradient attack by analyzing graph characteristics and extensive literature reviews.Benchmarking and… Show more Dynamo Lab (Dr. Ambuj K. Singh)--Targeted Edge Perturbations on GNNs• Approximate the robustness of 5 graph neural network architectures to edge perturbations, contrast results to adversarialattack responses.• Evaluate the effectiveness of 4 heuristic approaches to maximize edge additions while preserving model accuracy.• Invented a two-part greedy-primed gradient attack by analyzing graph characteristics and extensive literature reviews.Benchmarking and Improving Large Language Models on Graph Datasets• Collected 20 undirected graph problems with a varying degree of difficulty, structure, and intended algorithms.• Generated the first extensive graph dataset of 2000 test cases for 12 different graph categories with NetworkX.• Prompted 160 solutions across 8 LLMs, while measuring performance on test cases and categories. Show less -
Undergraduate Learning Assistant, Data Structures And Algorithms IUc Santa Barbara Apr 2024 - Jun 2024Santa Barbara, California, United StatesFor UCSB's CS130A, Data Structures and Algorithms I:- Conducted office hours for over 100 students, provided support regarding homework, exams, and programming problems.- Graded 800 assignments and administered 2 exams, ensured students understand complex, challenging concepts.- Corresponded with the teaching team to ensure optimal student learning and manage course pace. -
Fullstack Software Engineering InternHaggard Labs Jun 2023 - Sep 2023Dallas-Fort Worth Metroplex- Assisted the launch of Yopp, a financial wealth aggregation application, with a focus on user experience and interface.- Designed an ease-of-use platform for simple addition and relevant analysis with React Native and TypeScript.- Optimized data writing and retrieval by up to 80% through NoSQL database management.- Engineered secure serverless functions to retrieve financial data from external entities via RESTful APIs, leveraging Node.js and Firebase Cloud Functions.-… Show more - Assisted the launch of Yopp, a financial wealth aggregation application, with a focus on user experience and interface.- Designed an ease-of-use platform for simple addition and relevant analysis with React Native and TypeScript.- Optimized data writing and retrieval by up to 80% through NoSQL database management.- Engineered secure serverless functions to retrieve financial data from external entities via RESTful APIs, leveraging Node.js and Firebase Cloud Functions.- Communicated closely with the oversight team to ensure quality control and align design with strategic objectives. Show less
Will Corcoran Education Details
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Computer Science -
Computer Science
Frequently Asked Questions about Will Corcoran
What company does Will Corcoran work for?
Will Corcoran works for Max.live
What is Will Corcoran's role at the current company?
Will Corcoran's current role is BS & MS CS @ UCSB.
What schools did Will Corcoran attend?
Will Corcoran attended Uc Santa Barbara, Uc Santa Barbara, Skagit Valley College, Whatcom Community College.
Who are Will Corcoran's colleagues?
Will Corcoran's colleagues are Divina Ceniceros Dominguez, Lindsay Benedetto, Maria Santiago, Michael Leahy, Alecia Larkin, Kira Khayat, Michael H..
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Will Corcoran
Brooklyn, Ny4gmail.com, bvh.com, shop-construction.com, stacks.org -
Will Corcoran
Cybersecurity Leader And Advisor With Government Experience. Sec +, Ceh, Gcwn, Active Ts/SciGainesville, Va -
1postlandfill.org
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William Corcoran
Chief Financial Officer And Chief Operating Officer At Perpetual:New York City Metropolitan Area
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