Alex Kazaglis
Chief Strategy Officer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAlex Kazaglis is a strategy and transformation leader with nine years of senior experience driving decarbonisation and industrial strategy across government, consultancy, and industry, now serving as Chief Strategy Officer at the Science Based Targets initiative. He has led materials and power-sector strategy work at McKinsey and Vivid Economics, advising FTSE 100 and Fortune 500 clients on growth, zero-carbon transition scenarios, and large-scale M&A. Alex blends rigorous analytical training in applied mathematics and environment & development with hands-on research engineering experience at Imperial College, bridging technical modelling and high-level policy. He has shaped national climate frameworks for governments and steered investment roadmaps that unlock blended finance in emerging markets. An active open-source contributor, he has improved C++ plotting utilities (matplotlib-cpp) by adding plotting features and fixing memory leaks, revealing a pragmatic coder’s approach to tooling used by researchers. Based in London, he is known for turning complex energy-system analysis into actionable strategies under deep uncertainty.
9 years of coding experience
7 years of employment as a software developer
London School of Economics and Political ScienceUNSW Sydney
Github Skills (6)
c-language10
lib10
cprogramming-language10
numpy9
api-design8
develop7
Programming languages (20)
Github contributions (5)
lava/matplotlib-cpp
Sep 2018 - Feb 2021
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits, 12 PRs, 6 comments in 2 years 5 months
Contributions summary:Alex primarily contributed to enhancing the `matplotlib-cpp` library by adding and improving functionalities. They implemented support for `xticks`, `yticks`, and the `quiver` function, expanding the library's plotting capabilities. Additionally, the user addressed a bug in the `errorbar()` function and corrected memory leaks, ensuring the library's stability and usability. The user also integrated a `ginput()` function and improved the `figure` function to return the figure number.
headersimple-yet-powerfulplotheader-onlymatplotlib
BrainsOnBoard/beerobot
May 2018 - Oct 2019
Contributions:67 pushes, 14 branches in 1 year 5 months
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