Scholar
Andrew Lizarraga
Google Scholar ID: KUDS8uwAAAAJ
PhD Student @ UCLA
Citations & Impact
Citations
51
H-index
4
i10-index
2
Publications
15
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- No specific mentions of published papers, awards, patents, or projects.
Research Experience
- Recent projects involve: Generative modeling using diffusion models, variational inference, and transformer-based architectures; Efficient training and inference, including quantized models (int8, binary), LoRA tuning, and multi-GPU deployment; Scientific applications of deep learning to neuroimaging, medical time-series alignment, and redshift-conditioned galaxy synthesis; Systems-level design, including CUDA kernels, PyTorch internals, and model compression techniques.
Education
- PhD student in the Department of Statistics & Data Science at UCLA, co-advised by Professors Ying Nian Wu and Shantanu H. Joshi.
Background
- PhD Candidate in Statistics, Staff Researcher at UCLA's Brain Mapping Center, NSF GRFP Fellow. Research interests include developing and applying generative models, representation learning techniques, and statistical inference methods across diverse scientific domains such as medical imaging (fMRI, DTI), astrophysics (galaxy morphology modeling), and robotics (action-conditioned sequence models).
Miscellany
- No information on personal interests or hobbies.
