Portfolio

Hi, I'm Kieran 👋

Building

By

Persevering

I am a Ph.D. candidate in Computational Materials Science at Vanderbilt University, working in the Cummings and Yang groups, where my research focuses on developing autonomous methods to design materials through the integration of machine learning and molecular simulations. As an NSF Graduate Research Fellow and published author in The Journal of Physical Chemistry B, I am passionate about accelerating materials discovery with computational and data-driven approaches.

CONNECT WITH ME

About Me

I am a PhD candidate at Vanderbilt University in Interdiscipinary Material Science, a multidisciplinary domain focused on material science; for me, roughly a culmination of computer science and physical materials

I am a person who enjoys setting and working toward goals that challenge me grow.

I got Undergraduate degrees in Material Science Engineering and Statistics, and minors in Computational Modeling and Computer Science. I like integrating cross-disciplinary skills to make cool stuff.

about

Projects

Dynamically interconnected microbioreactors and their applications

Dynamically interconnected microbioreactors and their applications

2024-04-11

This patent describes dynamically interconnected microbioreactors and their applications. The invention addresses challenges in scaling up biological production by simulating heterogeneous environmental conditions found in large industrial bioreactors, optimizing cell lines for efficient bioproduction.

PatentInterconnection networksMicrofluidics
Explore
E(n) Equivariant Graph Neural Network for Learning Interactional Properties of Heterogeneous Molecular Structures

E(n) Equivariant Graph Neural Network for Learning Interactional Properties of Heterogeneous Molecular Structures

2023-12-13

This article introduces an E(n) equivariant graph neural network (IEGNN) designed to predict chemical properties arising from the interaction of heterogeneous molecular structures. The IEGNN incorporates spatial features and E(n) symmetries, allowing it to efficiently learn from 3D molecular structures.

PublicationEquivariant Graph Neural NetworksMolecular Dynamics
Explore
Petri Net Design Studio

Petri Net Design Studio

2022-05-20

This is a design studio for building and simulating petri nets

Petri NetsDesign StudioSimulation
Explore
Open-source Powder Dispenser

Open-source Powder Dispenser

2021-11-15

An open-source design of a powder dispenser for formulating powdery samples from multiple components, such as alloys, deep eutectics, etc. This project aims to provide a low-cost, open-source solution for researchers and hobbyists to create formulations of powders with precise control over the composition and mass.

Autonomous ExperimentationHardware3D Printing
Explore
Robust areal diffraction peak detection based on Shannon entropy

Robust areal diffraction peak detection based on Shannon entropy

2022-03-02

This research project was on improving diffraction maxima identification in XRD data.

Oral PresentationXRDComputer Vision
Explore
Nietzsche's Rebirth as Zarathustra

Nietzsche's Rebirth as Zarathustra

2020-08-01

Based off of the work of Carl Jung and his analysis of Fredrich Nietzsche, I attempt to make sense of Nietzsche's regression to psychosis

PhilosophyPsychologyNietzsche
Explore
Manifold-Slider

Manifold-Slider

2020-03-10

I trained a variational autoencoder neural network in python, then converted to tensorflow.js a python to javascript neural network converter, then built an interface and app with react.js to interact with the neural net

VAEReact.jsTensorflow.js
Explore
1D Fick Soltion for Solid State Diffusion python package

1D Fick Soltion for Solid State Diffusion python package

2019-12-25

This is a Python package that I created in my free time during COVID. I saw that there was no open source python package for performing diffusion simulations with Fick's Second law of diffusion. This package could be used to model Solid state diffusion in the specified geometries.

DiffusionMaterial Science
Explore
">

Timeline

  • 0

    Birth in Michigan to Catherine Nehil and Annette Puleo

  • 5

    Got Interested in Nature, Wanted to be an "Antomologist"

  • 12

    Got Interested in Homesteading, Started Building Stuff

  • 18

    Gap Year, Volenteered in Nepal and Uganda for 6 Months

  • 19

    Started Undergrads at MSU

  • 20

    Got Interested in Machine Learning

  • 21

    Interned at Textron, Got Interested in Computer Science

  • 22

    Got Interested in Jungian Psychology

  • 23

    Finished Undergrad at MSU, Honors Degrees in Statistics and Material Science Engineering with 3.8/4.0 GPA

  • 23

    Started PhD in Interdisciplinary Material Science at Vanderbilt University

  • 24

    Won the NSF Graduate Research Fellowship

  • 24

    Published First Paper on Exploiting Euclidean Symmetry in Graph Neural Networks

  • 26

    Got Married

Adventures

Skills

css

This is my primary programming language. I use this to build machine learning models, scripts and packages for molecular simulations, and much more.

css

This is my go to language for performance and hardware.

css

This is my language for anything I want people that are non-programmers to use, such as this website.

Appreciation

Thanks for visiting my portfolio!

Contact

Let's create something together!