Allen Smith
Adjunct Professor at Gloucester County College
Bristol Township, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolAllen Smith is an interdisciplinary scientist and adjunct professor with nine years of academic and research experience bridging bioinformatics, molecular genetics, and hands-on wet lab techniques. He holds a PhD in Microbiology and Molecular Genetics from Rutgers and has taught and mentored students in genetics, microbiology, and experimental biochemistry with consistently strong evaluations. A self-taught programmer and systems user, he contributes to open-source projects such as neat-python—improving neuroevolution code and documentation—while teaching himself Python to extend his bioinformatics toolkit. His background spans gene therapy postdoctoral work, protein and nucleic acid purification, cell culture, and statistical analysis, making him comfortable moving between bench work and computational literature-driven research. Known for independent literature synthesis and creating teaching resources, he combines rigorous experimental competence with a knack for clear documentation and pedagogy.
8 years of coding experience
Ph.D., Microbiology and Molecular Genetics, Ph.D., Microbiology and Molecular Genetics at University of Medicine and Dentistry of New JerseyN/A, Human Physiology, Statistics, N/A, Human Physiology, Statistics at University of South AlabamaB.A., Biology, B.A., Biology at Earlham CollegePh.D., Microbiology and Molecular Genetics, Ph.D., Microbiology and Molecular Genetics at Rutgers University
Github Skills (4)
library-design10
documentation10
python10
configuration-management9
Programming languages (5)
Github contributions (5)
CodeReclaimers/neat-python
Jun 2017 - Aug 2017
Python implementation of the NEAT neuroevolution algorithm
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:229 commits, 6 PRs, 127 comments in 1 month
Contributions summary:Allen focused on implementing enhancements to the core functionalities related to the `FloatAttribute` in the `neat-python` library, by clamping mutated values and removing unnecessary operations. They also updated the project documentation, notably on the configuration file and its parameters. Further contributions involved documenting the project's modules and interfaces, enhancing overall understanding and usability.
pythonpython-implementationneuroevolutionneural-networksneural-network
drallensmith/neat-python
Jul 2017 - Oct 2017
Contributions:227 commits, 2 PRs, 304 pushes in 3 months
python-implementationpythonneatneuroevolution
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