About Me

I am a Ph.D. candidate in mechanical engineering at the University of Arkansas seeking a job in data science.

Education

Ph.D in Mechanical Engineering
University of Arkansas 2021- Current

B.S. in Mechanical Engineering
University of Arkansas 2017 - 2021
Minor in Agricultural Business

B.S. in Mathematics with Applied Concentration
University of Arkansas 2017-2021

Current Position

I am a member of the NED3 lab at the University of Arkansas. I conduct research analyzing pool boiling data in order to optimize two-phase cooling systems. To do this I use popular machine learning models and create my own using tensorflow, pytorch, or scikit-learn. This work involves using large datasets consisting of high speed images and acoustic signals; hydrophones or ae signals.

Skills

Over the course of my graduate studies I have developed several valuable skills through research and coursework. Specific courswork includes Intro to Deep Learning, Data Mining, Computer Vision, Engineering Statistics, etc. Here is a summary of skills.

Python and SQL

I have been actively using Python for the past 4 years. I have used it for several projects. I have more recently began learning SQL. I have used it for a few projects such as a lab inventory web app.

Machine Learning

I am profienct in popular python machine learning libraries; tensorflow, pytorch, and scikit-learn. Additionally, I have a strong understanding of the governing concepts behind the models and understand metrics to analyze their performance.

Operating Systems

I use both Windows and Linux for my work. I have ran models on supercomputers with linux os using SLURM files. Additonally, I have installed and used cuda on a Linux computer in the lab.

Additional Skills

I know how to program in LabVIEW, arduino, and MATLAB. I also have some experience with C++ and Java. I also know SolidWorks.

Projects

I have done many projects over the course of my graduate studies.
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BubbleID

Repo for bubble detection, tracking, and statistics extraction.
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SeqReg

Repo for time series regression specifically boiling heat flux regression models.
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Temporal-Spatial Framework

Analyzed the impact of adding temporal information for high-speed image based heat flux predictions.
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Acoustic Regression

Created and compared regression models for boiling heat flux predictions via sound.
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Human Pose Estimate

Used openpose to annotate videos with pose esitmations and used media pip with Arduino to make a robot to mimic arm and head movements.
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3D Reconstruction

Used NeuS to create 3D surface resconstructions of objects from images in different perspectives.
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Design and Fabrication
of a Dip Coater

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Boiling Regime Classification

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Arkansas Summer Research Institute

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Lab Inventory Web App Development

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Automatic Meal Prep & Grocery List Script

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Contact Me

Email: christydunlap26@gmail.com