Hi, I'm Shaan Pakala.

I am a 2nd year Computer Science Ph.D. student at the University of California, Riverside, advised by Professor Vagelis Papalexakis. Here I work on AI4Science research, mainly focused on surrogate modeling for expensive experiments/simulations, alongside domain-experts in material science and physics. Most of my work involves learning from multi-dimensional data (i.e., tensors) by using tensor decomposition to understand and accelerate various scientific problems. Some key examples are designing a material with optimal properties or efficiently generating expensive physics simulations.

I also intern/collaborate with the predictive healthcare group at Lawrence Livermore National Laboratory with Dr. Priyadip Ray. Here we use machine learning methods to address important challenges in the healthcare space, alongside clinicians and biomedical researchers.