Latest Content

Making STEM History with Revenue.io Fellow Hezekiah Branch
Feb 27, 2023
Article
1

Hey, there!

My name is Hezekiah (rhymes with 🔥) and welcome to my LinkedIn!

#Trinidadian #Roxbury #617 #DataScientist

Passions: Creating Black Spaces, Clinical/Translational Research, Network Science

Where I'm From: Boston, MA and Columbia, SC

Primary research areas of interest (in alphabetical order) include:
âš¡ Brain network science
âš¡ Computational pathology
âš¡ Interpretable machine learning
âš¡ Network medicine
âš¡ Systems neuroscience

Technical Expertise:
âš¡ Specializations: AI, ML, Deep Learning, NLP, Network Science, Statistical Modeling
âš¡ Tools & Technologies: Python, SQL, C++, R, MATLAB, Java, Scala, JS/CSS/HTML
âš¡ Libraries: sklearn, Pandas, Plotly, Seaborn, NetworkX, NumPy, TensorFlow, PyTorch, Dask, OpenCV
âš¡ Mathematics: Probabilistic Systems, Nonlinear Optimization, Numerical Algorithms, Statistics
âš¡ Data Visualization: Python (matplotlib, seaborn & plotly), D3.js, Gephi, Tableau, Google Dashboard
âš¡ Big Data: Spark, MapReduce, BigQuery, Google Cloud, Cloudera

Management Experience:
âš¡ Launched a multinational career development series for over 94 students with top companies
âš¡ Program development for professional education at the world's top school of education
âš¡ Technical product management at one of the world's largest financial companies
âš¡ Startup founder of Code With Hezekiah with alumni from all over the United States
âš¡ Over seven years of management in the non-profit and higher education space

Research Experience:
âš¡ Enabling computational creativity in AI with novel deep learning algorithms
âš¡ Computer vision models for human-centered COVID-19 research
âš¡ Exploring random walk algorithms on directed multiplex and multilayer disease networks
âš¡ Contributing to time-series pipeline for classification of predictive targets in health data
âš¡ Experimental design of cognitive experiments and statistical modeling of human data
âš¡ Building infrastructure for large-scale data pipelines with capabilities for fraud detection

Previous photo taken by Alonso Nichols, Chief of Photography at Tufts University
Current by Rodney White

1
article