Stephen Dacek
Vice President at Two Sigma
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolStephen Dacek is a Vice President at Two Sigma with 13 years of experience bridging materials science and quantitative engineering to deliver production-grade systems. He led financial and quant engineering teams at Beacon Platform after completing a PhD in Materials Science at MIT, bringing deep domain expertise in computational materials modeling and battery cathode design. A hands-on back-end developer, he has contributed algorithmic improvements to the widely used pymatgen library, applying scientific rigor to structure-matching and test design. Based in New York, he combines research pedigree with product-focused leadership, often translating complex first-principles methods into robust engineering solutions.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Materials Science and Engineering, Doctor of Philosophy (Ph.D.), Materials Science and Engineering at Massachusetts Institute of TechnologyB.S., Materials Science and Engineering, B.S., Materials Science and Engineering at Cornell University
English
Github Skills (7)
algorithm10
data-structures10
algorithms10
python10
data-structure10
computational-materials-science10
unit-testing9
Programming languages (3)
Github contributions (5)
materialsproject/pymatgen
Dec 2012 - Jul 2016
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:242 commits, 1 PR, 35 pushes in 3 years 8 months
Contributions summary:Stephen primarily contributed to the `pymatgen` repository, which focuses on materials analysis using Python. Their work involved merging and modifying code related to structure fitting, including changes to the `structure_matcher.py` file, which involved the development of new algorithms. The contributions also include adjustments to file structures and test cases for the new algorithms.
moleculespythonscienceelectronic-structurepowers
mbkumar/pymatgen
Mar 2013 - Jul 2016
Python analysis library powering the Materials Project
Contributions:184 commits in 3 years 4 months
pythondata-scienceanalysisnumbamaterials-project
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