William Daniels
M.S. in Computer Science, Northwestern University
About me: I’m a recent computer science graduate with a heavy interest in applying the power of recent deep learning systems to unique problems. Historically my research has revolved around conditional image generation, specifically colorization of 2D images in cartoon domains, but I’m also very invested in and have experience with utilizing from-scratch neural networks as creature brains and evolving them towards some very cool tasks!
Previously: I received my M.S. in Computer Science from Northwestern University, advised by Dr. Aggelos Katsagellos. During the summer and fall of 2022 I interned at NASA’s Goddard Space Flight Center under Dr. Stephanie Schollaert Uz and Troy Ames. I obtained my Bachelor’s degree in Computer Science from Louisiana State University.
Links to my social application connections (Email, LinkedIn, GitHub, etc.) are available below. My preferred method of contact is email.
news
| Nov 26, 2023 | I’ve accepted a position as an Associate Professional Staff at the Johns Hopkins University Applied Physics Laboratory focusing in applied machine learning research and engineering! |
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| Jul 16, 2023 | Attending IGARSS 2023 at Pasadena California. |
| Jun 12, 2023 | I’ve graduated with my Master of Science in Computer Science (honors TBD) from Northwestern University! |
| Apr 3, 2023 | Improving Extreme Value Prediction for Water Clarity Using Weighted Regression Models been accepted for inclusion as a Oral presentation at IGARSS 2023 in Pasadena, California. |
| Mar 10, 2023 | My Master’s thesis Multi-Stage Automatic Line-Art Colorization with Style and Color Priors has been accepted as a technical report. (Will provide link when available.) |
| Jan 13, 2023 | Submitted an paper abstract to IGARSS on Improving Extreme Value Prediction for Water Clarity Using Weighted Regression Models. |