Daniel Grzenda
Graduate Research Assistant
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolDaniel Grzenda is a data scientist and graduate research assistant with a decade of experience applying machine learning, deep learning, and robotics to problems at the intersection of genetics, evolution, and cognition. He holds an MS in Data Science from the University of San Francisco and is pursuing a PhD focused on high-performance computing and AI at the University of Chicago, where he transitioned from staff data scientist to research roles. His background spans academia and industry—including software engineering and data science positions at Vium and SF17—bringing production-minded engineering to research problems. Based in Chicago, he combines computational rigour with biological insight, often working on projects that bridge scalable models and experimental science.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of VermontMaster of Science - MS Data Science Data Science, Master of Science - MS Data Science Data Science at University of San FranciscoPhD High Performance Computing and Aritifical Intelligence Computer Science, PhD High Performance Computing and Aritifical Intelligence Computer Science at University of Chicago
English
Github Skills (35)
vtk8
finite-element-analysis8
tdameritrade8
3d8
vscode8
mesh8
hdf7
visualization7
remote-development7
3d-detection7
lua7
point-cloud7
lidar7
python7
mesh-processing7
Programming languages (6)
Github contributions (5)
danielgrzenda/tuh_eeg
May 2019 - Jun 2019
Contributions:44 commits in 1 month
danielgrzenda/globus-labs.github.io
Sep 2022 - Jul 2025
Globus Labs Website
Contributions:10 pushes in 2 years 10 months
website-labsglobus
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