Alexander Henkes
CTO at Lighthouse Labs
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolAlexander Henkes is a Zurich-based AI leader and CTO with six years of research-to-product experience building advanced machine learning systems and advising clients through his consultancy. He transitioned from competitive postdoctoral roles at ETH Zürich and TU Braunschweig into technology leadership, combining deep academic rigor (Dr.-Ing.) with hands-on engineering. His work bridges spiking neural networks and practical AI solutions—he contributed an SNN regression tutorial to the snntorch open-source project, reflecting both pedagogy and applied ML skill. As Lighthouse Labs' CTO he focuses on turning cutting-edge research into deployable products and scalable teams. Colleagues value his ability to translate complex models into understandable, production-ready systems while keeping one foot in academic innovation. He brings a scientist’s curiosity to CTO-level decision making, often prototyping novel architectures before committing to full-scale builds.
5 years of coding experience
5 years of employment as a software developer
Master of Science, Master of Science at Paderborn UniversityDr.-Ing., Dr.-Ing. at Technische Universität Braunschweig
English, German, Russian
Github Skills (6)
neural-network10
pytorch10
machine-learning10
artificial-neural-networks10
python10
regression9
Programming languages (4)
Github contributions (5)
jeshraghian/snntorch
Aug 2022 - Jan 2023
Deep and online learning with spiking neural networks in Python
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 48 commits, 12 PRs in 5 months
Contributions summary:Alexander created a new tutorial notebook (tutorial\_8\_regression.ipynb) within the snntorch repository, which focuses on regression tasks using Spiking Neural Networks (SNNs). The notebook explores the use of different SNN architectures, including LIFs and SLSTMs. This involved adding the basic code and setting up a regression dataset, indicating active contribution to the project's core functionality in the area of SNNs.
pytorchspiking-neural-networksneurosciencepythondeep-learning
ahenkes1/snntorch
Aug 2022 - Sep 2023
Deep and online learning with spiking neural networks in Python
Contributions:2 PRs, 62 pushes, 15 branches in 1 year 1 month
spiking-neural-networkspythondeep-learningneural-networksmachine-learning
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