I am a Research Scientist with a bacgkround in
- Linear and Multilinear Algebra
- High Performance Computing
- Tensor Networks and Decompositions
- Randomized Linear Algebra
- Accurate Quantum Chemistry
- Software and Library Design
Most recently, I have worked as a postdoctoral Associate at the University of Maryland in the Department of Mathematics
with Dr. Haizhao Yang studying effective application of tensor algebra
scientific machine learning.
Prior to this, I worked with Dr. Miles Stoudenmire and Dr. Matthew Fishman at the Flatiron Institute's Center for Computational Quantum Physics as a software research fellow and principle developer on the ITensors.jl library. During this time I redesigned the library using Julia style, generic programming principles to support CPU/GPU agnostic algorithm design.
I recieved my PhD in theoretical chemistry working with Dr. Edward Valeev. During this time, I developed algorithms to compute the canonical polyadic tensor decomposition and designed high performance tensor kernels to accelerate accurate quantum chemistry modeling software.
Outside of science, you can find me riding my bike or baking sourdough. You might also find me hanging upside-down, I am a pole vaulter and have also coached young athletes in the sport.
Prior to this, I worked with Dr. Miles Stoudenmire and Dr. Matthew Fishman at the Flatiron Institute's Center for Computational Quantum Physics as a software research fellow and principle developer on the ITensors.jl library. During this time I redesigned the library using Julia style, generic programming principles to support CPU/GPU agnostic algorithm design.
I recieved my PhD in theoretical chemistry working with Dr. Edward Valeev. During this time, I developed algorithms to compute the canonical polyadic tensor decomposition and designed high performance tensor kernels to accelerate accurate quantum chemistry modeling software.
Outside of science, you can find me riding my bike or baking sourdough. You might also find me hanging upside-down, I am a pole vaulter and have also coached young athletes in the sport.
News
[September 2026] My wife and I got married in Maryland!
[September 2026] I am reading an Equivariant Graph Neural Network book published by MOLSSI and working through a LinkedIn course on transformer model neural network for upcoming research.
[June 2026] I attended the RandNLA conference in Lausanne Switzerland hosted by EPFL and presented a poster on my work in randomized CPD-ALS.
[June 2026] The CPD enabled, reduced-scaling MPCC manuscript is published in the Journal of Chemical Physics in a special edition on Quantum Embedding for Molecules and Materials
[May 2026] I attended the International Linear Algebra conference at Virginia Tech and gave a talk on collaborative work done at UCLA's IPAM.
[March 2026] I attended the SIAM conference on Parallel Processing in Berlin Germany and gave a talk on using SE-QRCS to accelerate the randomized CPD-ALS
[February 2026] Talha Aziz wins best poster award at the 65th Sanibel Symposium for his work on reduced-scaling MPCC.
[May 2025] I attended the Triennial Conference on Molecular Quantum Mechanics in Kyoto Japan and gave an invited talk on my work applying the CPD to accelerate accurate electronic structure methods.
