Kesshi Jordan - Staff Data Scientist

Kesshi Jordan

Staff Data Scientist

Columbia, Maryland, United States

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Summary

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Senior

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Top School

Kesshi Jordan is a Staff Data Scientist with 12 years of experience bridging neuroimaging research and production health analytics, currently applying clinical ML at Thyme Care. Trained as a bioengineer with a PhD from UCSF/UC Berkeley, they built novel diffusion MRI tractography pipelines to model brain connectivity in extreme pathologies and automated workflows now used to inform neurosurgical and radiation therapy decisions. In industry roles at Octave and Rally Health they led cross-functional teams to turn clinical intuition and large-scale medical transaction data into actionable, cost-aware population health solutions. An active open-source contributor to flagship projects like DIPY and Nipype and a developer on the VTK-based FURY renderer, Kesshi blends deep domain expertise with practical software engineering and technical writing. They have a knack for repurposing algorithms—evidenced by an Insight Fellowship project that used nonlinear time-warp features from speech recognition to screen for neurodegeneration—making complex models interpretable to clinicians.

12 years of coding experience

7 years of employment as a software developer

Doctor of Philosophy (PhD) Bioengineering, Doctor of Philosophy (PhD) Bioengineering at University of California, Berkeley

Bachelor of Science (B.S.) Bioengineering with Minors in International Engineering and Spanish Language & Cultures, Bachelor of Science (B.S.) Bioengineering with Minors in International Engineering and Spanish Language & Cultures at University of Maryland

Doctor of Philosophy (PhD) Bioengineering, Doctor of Philosophy (PhD) Bioengineering at University of California, San Francisco

Bioengineering Spanish, Bioengineering Spanish at Universidad de Saint Louis

English, Spanish, French, Italian

Github Skills (16)

technical-writing10

scientific-visualization10

workflow-engine10

vtk10

3d-graphics10

python10

scientific-computing10

neuroimaging10

documentation10

brain-imaging10

data-analysis9

game-engine9

testing8

shader7

medical-imaging4

Programming languages (3)

TypeScriptJupyter NotebookPython

Github contributions (5)

dipy/dipy

Oct 2014 - Jan 2019

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Role in this project:

Technical Writer

Contributions:103 commits, 12 PRs, 113 comments in 4 years 3 months

Contributions summary:Kesshi primarily edited and updated tutorial documentation within the repository. These changes involved refining text, correcting formatting, and ensuring the clarity of explanations in the existing examples. The contributions show a focus on improving the usability of the documentation, as well as incorporating code examples to help the user to better understand the codebase. The edits specifically targeted example files to conform to established standards.

signalpythonmicrostructurespatialtractography

nipy/nipype

May 2016 - May 2018

Workflows and interfaces for neuroimaging packages

Role in this project:

Data Scientist

Contributions:99 commits, 5 PRs, 63 comments in 2 years

Contributions summary:Kesshi primarily contributed to the `nipype/nipype` repository by fixing bugs and adding interfaces related to neuroimaging data processing. They modified existing code to correct the functionality of a `GradientTable` object. The user implemented new interfaces for calculating the anisotropic power map using `dipy` library. Also, the user added interfaces for the `dtitk` command-line tools, integrating additional tools into the existing framework.

workflowneuroimagingpythondata-scienceworkflow-engine

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