Andrew


Hello !

I am a scientist with academic research experience and a strong computer background with an interest in applying 3D graphics and technology thereof to solve real-world problems. During my PhD, I focused on the crystallization of metallic & molecular crystals and had used diverse methodologies to elucidate these processes.

Among the most commonly used of these have been kinetic Monte Carlo (kMC) simulations, nonlinear programming, and artificial intelligence (AI) algorithms. Below are some of the main topics which I've delved into.

Tensors for complex topologies
I have used tensors to simulate crystal structures with a complex arrangement of adatoms. A common case of these crystals are metal-organic frameworks (MOFs). Algorithms have also been developed to manipulate these tensors for 3D simulations, which include search-and-update implementations and tensor transpositions.
Dynamic simulations to determine structure and event times
The main application to these tensors has been for kinetic Monte Carlo (kMC) simulations to shed light on crystallization phenomena of different species in a dynamic way. The below figures show snapshots of a sample simulation I ran with arbitrary physics (procedural animation on the splash page). Tensors can also be used to simulate structures such as these with hexagonal coordinates.


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Facilities and Resources



Support & Collaborators (past and present)

Fun Facts

Coffee Cups

?

Hottest Experiment

2100 °C

Max. No. CPUs run in parallel

16

Resume

Education

2017 - 2022
University of Florida

Ph.D., Chemical Engineering

Dissertation: Thermodynamic and kinetic crystal growth theory for the design of metallic and molecular crystals

University of Miami

B.S., Chemistry

Minor: Biology
Published research: Fibril-Assisted Gold Nanocluster Synthesis

Experience

2015 - 2017
Xerox

Associate Engineer

I was a toner chemist and engineer working in Xerox's toner technology and new business sectors. I worked in the lab, pilot scale, and workshop settings where my work went beyond the chemistry of toners alone. I used statistical analysis and my scientific skills to develop toner with features desired by the company and/or Xerox's clients. I obtained my Six Sigma Green Belt certification from Xerox.

2013 - 2015
University of Florida Dept. of Chemical Engineering

Research Assistant

I entered Dr. Carlos Rinaldi's lab at the University of Florida Department of Chemical Engineering while I was a M.S. student in Chemical Engineering, where my thesis work made me a co-inventor of a patent for a nerve-regenerating hydrogel, an author of a journal article, and most possibly helped me become an expert in colloids while at Xerox.

2009 - 2012
University of Miami Dept. of Chemistry

Undergraduate Research Assistant

I started my research career as a Chemistry undergraduate at the University of Miami, where I was initially mentored by Dr. Jamie Walls on the computational modeling of NMR pulse sequences for the first year, and then conducted experimental research in Dr. Roger Leblanc's lab on green syntheses of gold nanoparticles for 2 years.

General Skills*

Research

90%

Monte Carlo simulations

85%

Machine Learning

85%

Deep Learning

65%

Cloud Computing

65%

Experimental design

75%

Atomistic simulations

60%

Web development

60%

Server management

40%
*Compared to my basic reading and writing skills

Computer Languages and Skills**

Python

85%

C++

55%

Scala

40%

JavaScript · HTML · CSS

70%

Bash Linux

90%

LaTeX / TeX

85%

Rust

30%

Ruby

30%

Web 3.0

30%
**Compared to my ability to use basic office suites such as Microsoft Office

Knowledge

  • Computational modeling
  • Experimental design
  • Mathematical optimization
  • Nonlinear programming
  • High Performance Computing
  • Statistical mechanics
  • Kinetic modeling
  • Thermodynamics
  • Diffusion
  • Solid-state physics
  • X-Ray Diffraction (XRD)
  • Nuclear Magnetic Resonance (NMR)
  • Systems integration
  • Market Research
  • Patent analysis
  • Fundraising

Certificates

Certificate ID Number: f05a12a0a49b4f108
ef4f3107dfd1df2
2021
NVIDIA Deep Learning Institute
Certificate ID Number: a30be6dda77f4bf99d
344227c19727e5
2020
NVIDIA Deep Learning Institute
September 2016
Xerox - SigmaZone

Showcase


A sample of some of the things I have developed and can expand on.
In terms of computation, my expertise is on computational modeling and optimization. However, here I also show some interactive 3D animations which highlight my graphical rendering prowess.

Mockup Design 1

tensorscout

A Python library for tensor operations powered by parallel processing.[Python]
Mockup Design 1

for bench chemists

A bench chemist's calculator [Javascript]
Mockup Design 1

streamdice

An encryption algorithm based on the constant random shuffling of keyboard maps [C++ (stable)]
Mockup Design 1

block visualization

Integrated examples to a Javascript program I developed for the agile rendering of voxel structures. [Javascript]
Mockup Design 1

surface

A crystal surface. [Javascript]
Mockup Design 1

splash page

A procedural animation of crystal dissolution [Javascript]
Mockup Design 1

powerxrd

A toolbox to handle powder XRD (and XRD) data.[Python]
Mockup Design 1

torus knot

No, it's not a pretzel 😀 [Javascript]
Mockup Design 1

for steam tables

A secret calculator for thermodynamic properties of water (steam tables) [Javascript]
Mockup Design 1

Ziegler nanowires

A three-dimensional representation of nanowire arrays I made for the Ziegler lab (Univ. of Florida) [Javascript]


JavaScript code processed with obfuscator.io ♥

Blog

Contact

FL

Available to work in private and U.S. 🇺🇸 federal sectors with no restrictions. Open to consulting and start-up opportunities. Willing to relocate.

Selected Conferences

AIChE Annual Meeting (Oral Presentations)

2021
Thermodynamic Modeling of Competing Crystal Species from a MIL-53 Metal Organic Framework (MOF) Reaction Andrew R Garcia, Dirk Steyn III, Sergey Vasenkov, Kirk J Ziegler 2021 AIChE Annual Meeting (Oral Presentation)

Kinetic Monte Carlo Modeling of MIL-53 Metal Organic Framework Crystal Growth Andrew R Garcia, Janani Sampath, Sergey Vasenkov, Kirk J Ziegler 2021 AIChE Annual Meeting (Oral Presentation)

2020
Monte Carlo Simulations of Hydrothermal Metal Organic Framework (MOF) Crystal Growth Andrew R Garcia, Janani Sampath, Sergey Vasenkov, Kirk J Ziegler 2020 Virtual AIChE Annual Meeting (Oral Presentation)

2019
Crystallization of MIL-53 Metal Organic Frameworks (MOFs) through Changes in the Hydrothermal Process Andrew R Garcia, Sergey Vasenkov, Kirk J Ziegler 2019 AIChE Annual Meeting (Oral Presentation)


Other Events and Conferences

LAMMPS Workshop and Symposium 2021 August 2021 Attendee -
NVIDIA GTC 2021 Conference April 2021 Attendee -
UF Nano Day 2020 October 2020 Presenter (poster) Best Poster in Nano-Chemistry
NanoFlorida 2020 March 2020 Presenter (oral) Honorable Mention in Materials, Devices, and Enabling Technologies
MRPM14 February 2018 Attendee -