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Hi there 👋 I'm Mike

I am an Applied Machine Learning Lead in New York City that is always trying to learn new things and grow. I earned a PhD in Computational Applied Mathematics from the University of Texas at Austin in 2016 where my research was the intersection of numerical analysis, high performance computing and renewable energy. In grad school I spent most of my time studying discontinuous Galerkin methods and finite element methods for simulating photo-electrochemical solar cells. I was also a contributor to the C++ based finite element library deal.ii.

I tend to lean more towards to engineering side of data science and spend most of my time writing in Python, SQL, Scala & Bash. I am big fan of Apache Spark and have been using it extensively since 2017. Now days I am focusing on my learning as much as I can about Natural Language Processing, Deep Learning and Cloud Computing.

⚡ Fun fact:

For over 17 years I was a competitive athlete in Brazilian Jiu Jitsu, during which I won the World Championships and achieved the rank of 1st degree Black Belt from 2x Pan American, Champion Professor Dave Ginsberg. I was fortunate enough to have an amazing coach along with great mentors, sponsors, friends, teammates and students.

Mike Harmon's Projects

advection_solver icon advection_solver

Solves the steady-state advection equation using the discontinuous Galerkin method.

awesome-scala icon awesome-scala

A community driven list of useful Scala libraries, frameworks and software.

bayesmle icon bayesmle

Bayesian and frequentist statistics in Python with data sampled from a distribution in Scala

code-gallery icon code-gallery

A collection of codes based on deal.II contributed by deal.II users

crimetime icon crimetime

Python web application for exploring and forecasting crime rates in NYC

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

dealii icon dealii

The development repository for the deal.II finite element library.

kmeans icon kmeans

Creating A Scikit-Learn Compatable Clustering Algorithm

mpi_practice icon mpi_practice

Practice Codes For Distributed Programming using C with MPI

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