Andrew Garcia, PhD
Computational Scientist | Deep Learning | Machine Learning | Computer Simulations
Featured Projects
Explore some of my key software projects, demonstrating my skills across a range of technologies.
Voxelmap
A Python library for making voxel models from NumPy arrays.
Time2Vec Keras Layer
Keras implementation of the Time2Vec algorithm for time-series analysis.
NonLocalBlock Keras Layer (Contributor)
Non-Local Block Layer for enhancing feature representation. My contributions involved ensuring it for works for a special 1-D case for time-series forecasting and converting the project into a formal Keras Layer block.
PowerXRD
A Python package made to analyze XRD data. The only known open-source Github project with a Rietveld refinement method in development.
streamDice
A stream cipher based on pseudo-random shuffling of keyboard hashmaps.
Tetris (Contributor)
Contributor to open-source tetris game made with C++.
Technical Skills
Explore the tools and technologies I use to tackle complex problems in deep learning, machine learning, and computer simulations.
Programming Languages
Python, C++, C#, Bash, SQL
Machine Learning
TensorFlow, PyTorch, Scikit-learn, Keras
Deep Learning
Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Neural Architecture Search, AutoML, Meta-learning
Computational Simulations
OpenMM, GROMACS, NAMD, LAMMPS
Data Analysis
Pandas, NumPy, SciPy, Matplotlib, Seaborn
Cloud Computing
AWS, Google Cloud, Azure, Docker, Kubernetes
Game Development
Unity, C#, C++
Web Development
React, Next.js
Resume
Education
Ph.D. in Chemical Engineering
University of Florida
2017 - 2022
M.S. in Chemical Engineering
University of Florida
2012 - 2015
B.S. in Chemistry
University of Miami
2007 - 2011
Work Experience
Intern, Economic Research (Subgerencia de Investigación Económica)
Central Reserve Bank of Peru (BCRP)
2023 - 2024
Developed and deployed advanced neural networks for time series forecasting to predict the economy. Applied neural architecture search methods for automated model design using TensorFlow and PyTorch.
Research Assistant
University of Florida
2017 - 2022
Optimized crystallization of MIL-53 MOFs and developed 3D kinetic Monte Carlo simulations to analyze crystal anisotropy. Engineered a cloud computing solution that reduced simulation times from 24 hours to under 2 hours using DigitalOcean clusters.
Teaching Assistant, Computer Model Formulation
University of Florida
Jan 2018 - May 2018
Assisted in the teaching of numerical algorithms and Python programming essentials to undergraduate students. Held office hours to review course materials and provide additional instruction tailored to individual student needs.
Certifications
Fundamentals of Accelerated Computing with CUDA Python
Issued by NVIDIA
2021
Fundamentals of Deep Learning for Computer Vision
Issued by NVIDIA
2020
Get in Touch
I am always excited to collaborate on new projects or discuss potential opportunities. Feel free to reach out using the form below.