Focus

LNP-EE-Predictor

Building on work by the LNP Atlas and LNPDB groups at the Korea Institute for Science and Technology and MIT, curating an open-source database of lipid nanoparticle formulations for ML analysis. Developing, alongside Constantinos Skevofilax, a dockerized API with pre-processing, ML training, and analysis code in Python to predict encapsulation efficiency of novel LNP formulations.

Cranio-Facial FEA

A finite element analysis model for cranio-facial bone remodeling, focused on orthotropic pressures — tongue pressure vs. mouth breathing — and their long-term morphological effects.

Disaggregated Packaging at Intel

Advanced semiconductor packaging at Intel's Fab 9 in Albuquerque. Maintenance of the singulated die sort toolset, SOP design, process health monitoring, and QMS development. Ramped module availability from ~50% to ~92% as owner of operational indicators, reduced backside mylar residue defect rate from 18% to 0% over three months, and deployed a new operational-efficiency analytics dashboard.

Education

University of Texas at Austin

B.S. Biophysics · Certificate in Scientific Computation and Data Science

Senior biophysics thesis on cellular mechanobiology — how extracellular matrix mechanics shape genetic expression, and how mechano-transduction pathways drive bone remodeling in response to sport and loading. Data science certificate work analyzed City of Austin crime statistics.

Writing

• Predicting LNP Encapsulation Efficiency from Formulation Parameters — 2026-04-09
• Dense vs. Mixture-of-Experts: Benchmarking Local LLMs on Intel Arc Battlemage — 2026-07-23