Dakota Hawkins
Data Scientist II - Computational Biology
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDakota Hawkins is a data scientist and bioinformatician with over a decade of experience across academia, national lab, and industry, currently driving computational biology efforts at Parabilis Medicines. He holds a PhD in Bioinformatics from Boston University, where he developed mixed-ML models for perturbation effects in single-cell data and novel computer vision approaches to align scRNA-seq with 3D imaging. Dakota builds statistical and machine-learning tools that span -omics, single-cell, and volumetric image analysis to accelerate early drug discovery and lead optimization. His background in both mathematics and biology, plus hands-on work at PNNL, gives him a rare ability to translate complex biological questions into robust computational solutions. He maintains an active GitHub and personal site showcasing reproducible tools and methods that emphasize robustness and interpretability.
10 years of coding experience
3 years of employment as a software developer
Biology and Mathematics, Computational and Applied Mathematics, Biology and Mathematics, Computational and Applied Mathematics at Westminster UniversityDoctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Boston University
Github Skills (86)
duplication10
seq10
semi-supervised-learning10
gene-expression10
overlap10
cluster-computing10
undirected-graph10
single-cell-analysis10
rna-seq10
filtering10
preprocessing10
filter10
adapter10
sequencing10
minimum-spanning-tree10
Programming languages (9)
Github contributions (5)
dakota-hawkins/CV
Jul 2016 - Jul 2023
Contributions:19 pushes, 1 branch in 7 years 1 month
dakota-hawkins/dakota-hawkins.github.io
Nov 2017 - Jun 2024
Contributions:16 pushes, 1 branch in 6 years 8 months
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