Hector Loarca
CTO & Co-Founder at AngioWave Imaging
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolHector Loarca is a CTO and founder with 11 years bridging deep mathematical research and product-grade AI systems, currently building a stealth startup focused on agentic AI and automation for traditional industries. He combines postdoctoral expertise in 3D scene reconstruction, novel view synthesis and inverse rendering from work at TUM and LMU with hands-on AI product leadership as Head of AI at Nazca and co-founder of biomedical imaging startup AngioWave. Trained as a mathematician and physicist (PhD LMU), Hector specializes in microlocal analysis applied to deep learning, translating rigorous theory into robust algorithms for real-world biomedical and vision applications. He has a track record of shipping research-driven software, advising VC-backed portfolios on AI strategy, and developing infrastructure for deployment-scale models. Based in Munich/Berlin, he’s equally comfortable in math-heavy derivations and production engineering, and often blends statistical rigor with practical tooling to accelerate translational impact.
11 years of coding experience
8 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)Doctor of Philosophy - PhD , Mathematics, Doctor of Philosophy - PhD , Mathematics at Ludwig-Maximilians-Universität MünchenDoctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Technische Universität Berlin
Spanish, English, German, Japanese
Github Skills (79)
programming-language10
inverse-problems10
meta-tags10
science10
abaqus10
julia10
sparse10
tomography10
prototyping10
machine-learning10
jupyterlab10
splines10
image-reconstruction9
julialang9
root-finding9
Programming languages (8)
Github contributions (5)
arsenal9971/DeNSE
Jan 2019 - Nov 2021
Contributions:4 commits, 21 pushes, 1 branch in 2 years 10 months
arsenal9971/Shearlab.jl
Jan 2017 - Mar 2020
Shearlab is a Julia Library with toolbox for two- and threedimensional data processing using the Shearlet system as basis functions which generates an sparse representation of cartoon-like functions.
Contributions:6 releases, 126 commits, 7 PRs in 3 years 2 months
representationcartoonjulia-librarysplinesdata-processing
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