Researcher.
Innovator.
Disruptor.
ABOUT
Hezekiah Branch studies Data Science (M.S.) and is a graduate of the Cognitive & Brain Sciences (B.S.) program at Tufts University.
Hometown: Roxbury, Boston; Columbia, South Carolina
Research Areas of Interest:
⚡ Brain network science
⚡ Clinical machine learning
⚡ Computational neuroscience
⚡ Computational semantics
⚡ Deep learning for medicine
⚡ Neuroinformatics
⚡ Systems neuroscience
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Cofounder of Tufts BSCS (Tufts Black Students in Computer Science), the first department-sponsored organization for Black students in computer science and related fields at Tufts University. Advisor: Professor Kathleen Fisher, Dept. Chair
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Founder of Code With Hezekiah, a free coding boot camp based in Boston, MA that provides training in data analytics, web development, and research methods (est. 2018).
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Founder of B.L.A.S.T.O.F.F. Industry Speaker Series, a multinational career series providing professional development to 96 Black/Latine alumni with experts from Nike, Sesame Workshop, the University of Chicago, and other leading companies.
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Head of Tufts Black Jumbos, the largest and oldest-running social media platform for Black students at Tufts University. Founded by a powerful group of Black alumni from the historic Class of 2018. Leading engagement on Instagram, LinkedIn, Twitter, and Meta.
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Creator of the Capen Challenge, a multiyear initiative of campus-wide competitions and events with the purpose of increasing community and engagment for students of color (est. 2017).
Awards and Honors:
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Tufts Presidential Award for Civic Life
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Honos Civicus Society
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Tisch Scholar for Civic Life
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NSF FAST TRAC Scholar
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Data Analytics Graduate TA (2021)
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Tufts ExCollege Board
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2X Forbes Under 30 Scholar
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SXSW EDU Speaker (2020)
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Workshop Lead, PennApps, UPenn
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IBM Blue Movement (2020)
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#FirstFlight @Twitter Fellow
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LinkedIn Accelerate U
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Code2040 Fellows Finalist
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Capital One Ignite
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LSAMP Research Scholar
Technical Expertise:
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Artificial Intelligence
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Bayesian Modeling
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Cognitive Neuroscience
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Data Science & Analytics
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Natural Language Processing
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Network Science
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Machine Learning
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Software Engineering
Technical Toolbox:
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Python (sklearn, pytorch, tensorflow, networkx, spacy, nltk, pandas, numpy, plotly, matplotlib, nilearn, scipy, seaborn)
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R (dplyr, ggplot2, tidyr, JAGS)
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C++ (OOP, Make, STL, Valgrind)
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MATLAB (Image Processing)
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Apache Spark (pyspark, scala)
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Deep Neural Networks
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Brain Image Processing
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Neural Signal Processing
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Experimental Design
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Data Mining
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Data Visualization
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Data Wrangling
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Hypothesis Testing
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Pattern Recognition
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Visualization]
Spoken Languages:
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Spanish (NSE Gold Medalist)
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Brazilian Portuguese (Former Minor)
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Reading in French