Zander W. Blasingame
Postdoctoral Researcher @ Clarkson University, Potsdam NY, USA
I am currently a postdoctoral researcher at Clarkson University studying inference-time control of flow/diffusion models. Lately, I’ve been interested in neural differential equations, score-based generative models, rough path theory for ML, and applications in ai4science. Recent research has focused on bespoke ODE/SDE solvers for the gradients of diffusion models, greedy algorithms for guided generation, and reversible solvers for diffusion models. Previously, I received my Ph.D. in Electrical and Computer Engineering from Clarkson University in 2025 supervised by Dr. Chen Liu.
All of Christ, for all of life.
In my free time I am an opposite hitter for the Clarkson Men’s Club Volleyball team. Additionally, I enjoy any form of barbell training and other power sports.
Latest News
| Oct 10, 2025 | Our new pre-print Rex: Reversible Solvers for Diffusion Models is now available on arXiv. |
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| Sep 18, 2025 | Our paper Greed is Good: A Unifying Perspective on Guided Generation was accepted @ NeurIPS 2025 |
| Jul 29, 2025 | Presented our paper of Scalable Malware Detection Framework Using Performance Counters and Gradient Boosting at the 36th IEEE International Conference on Application-specific Systems, Architectures and Processors conference in Vancouver, Canada |
| Jul 19, 2025 | Presented our paper Greed is Good: A Unifying Perspective on Guided Generation at the The Exploration in AI Today Workshop @ ICML 2025 in Vancouver, Canada |
| Jul 03, 2025 | Published a new preprint LoRA as a Flexible Framework for Securing Large Vision Systems |