Scholar
Zander Blasingame
Google Scholar ID: gBBtH3AAAAAJ
Clarkson University
Citations & Impact
Citations
104
H-index
7
i10-index
2
Publications
18
Co-authors
4
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Selected as a Top Reviewer @ NeurIPS 2025; new pre-print 'Rex: Reversible Solvers for Diffusion Models' available on arXiv; paper 'Greed is Good: A Unifying Perspective on Guided Generation' accepted @ NeurIPS 2025; presented 'Scalable Malware Detection Framework Using Performance Counters and Gradient Boosting' at the 36th IEEE International Conference on Application-specific Systems, Architectures and Processors; presented 'Greed is Good: A Unifying Perspective on Guided Generation' at The Exploration in AI Today Workshop @ ICML 2025.
Research Experience
- Focused on controllable generation with flow/diffusion models and their downstream applications in biometrics during Ph.D. Developed reversible numerical schemes for diffusion SDEs, numerical schemes for computing gradients through the ODE/SDE solve of diffusion models, and face morphing methods using diffusion models. From January 2025, working as a postdoctoral fellow at Aithyra in Vienna, Austria, under Alex Tong, focusing on generative models for life sciences.
Education
- Ph.D. in Electrical and Computer Engineering from Clarkson University (2025), supervised by Chen Liu.
Background
- Research interests: generative modeling, numerical methods, neural differential equations, flow matching, diffusion models, and AI for science applications.
Miscellany
- Amateur athlete and theologian; played as a middle blocker/opposite hitter for the Clarkson Men’s Club Volleyball team during Ph.D.; loves any form of barbell training and is currently working towards joining the 1250 lbs club [1145/1250].
