Kaivan Kamali
Chief Data Scientist
State College, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolKaivan Kamali is a Chief Data Scientist with nine years of professional experience and a Ph.D. in computer science from Penn State, now leading data science at Cognizant AI Lab from State College, PA. His background blends academic research and applied engineering—spanning roles as a computational scientist, adjunct AI lecturer, and senior software engineer—so he moves comfortably between teaching, research, and production systems. He has deep experience in data-intensive back-end development and QA, including test-driven contributions to the well-known Galaxy Project for scientific data workflows. Kaivan’s career includes industry research at Sentient and Bloomberg, where he focused on scalable algorithms and reliable system engineering. Known for pairing rigorous academic methods with pragmatic implementation, he often surfaces subtle testing and metrics improvements that increase system robustness.
9 years of coding experience
17 years of employment as a software developer
Ph.D., computer science, Ph.D., computer science at Penn State UniversityB.S., Electrical Engineering, B.S., Electrical Engineering at Tehran Azad University
Github Skills (11)
pytest10
python10
testing10
bioinformatics9
workflow-engine9
genomics8
data-structure7
data-structures7
api-design5
apidoc5
api5
Programming languages (11)
Github contributions (5)
galaxyproject/galaxy
Feb 2020 - Dec 2022
Data intensive science for everyone.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:38 reviews, 63 PRs, 226 comments in 2 years 10 months
Contributions summary:Kaivan primarily contributed to test-related code within the `galaxyproject/galaxy` repository. Their work involved updating and modifying integration tests, specifically focusing on data type uploads using iRODS and DOS object stores. They made several updates to the `test/integration/test_datatype_upload_irods.py` and `test/integration/test_datatype_upload_dos.py` files, implementing and refining the testing logic for data handling. Additionally, they worked on job metrics and formatting.
pythonsciencepipelinednadata-science
kxk302/training-material
Jan 2021 - Apr 2024
A collection of Galaxy-related training material
Contributions:4 reviews, 1 PR, 142 pushes in 3 years 3 months
training-materialgalaxytraining
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