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故事

Behzat Aslanoğlu

从分子到神经元再到 agent

数学与代码在我的头脑中一同成长——随后穿过分子、大脑和机器学习,抵达前沿:LLM、agentic AI 以及 agent 集群。一条从未中断的线索。

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// the story

并行的弧线。

数学、代码、计算机科学与 Web 在我的头脑中一同成长——彼此磨砺。我获得了 应用数学学士 (大不里士大学),一位 应用信息学硕士 在伊斯坦布尔理工大学(GPA 3.94/4.00),以及一个 博士候选人资格 在那里的信息与通信工程领域——同时自学编程和用机器学习思考。数学启发了代码;代码让数学成真。
这门学科从来不是背公式——而是把一个混乱的真实问题分解成你真正能解的方程。微分方程、线性代数和概率成为我阅读每个数据集和网络的语法,而编译器是我用来检验句子的铅笔。这一条线索——从抽象证明到可运行的软件——贯穿从分子模拟到 LLM agent 的始终。

Math never waited for the code, and the code never waited for the math. They arrived together and stayed together — one continuous, intertwined thread from the very start.

— the through-line · BSc → MSc → PhD → the work

这门 discipline 从来不是背公式——而是把一个混乱的真实问题拆解成你真正能解的方程。

— applied mathematics · University of Tabriz

Don't just fit the curve — model the mechanism.

— molecular dynamics · TÜBİTAK, F876L resistance story

Vision

Intelligence from molecules to neurons to agents — one unbroken thread. Mathematics, science, and agentic AI grown together, and shared as I build.

Mission

Build LLMs and agentic AI that don't just answer — they act. From first-principles ML to coordinated swarms of agents, ship systems, not notebooks.

Philosophy

Reduce a messy, real system to a model you can trust. Respect the physics, model the mechanism — don't just fit the curve. Math and code arrived together and never waited for each other.

The Goal

Coordinated swarms where emergence echoes the brains I studied — resilience, parallel exploration, and answers that come from collective reasoning rather than one model's guess.

引擎

三个章节,一条主线

这个故事所依托的支柱——以及我至今仍在使用的引擎。

01

From Proofs to Physics

The Mathematician & Scientist

Applied mathematics, molecular dynamics, and the F876L resistance story. The discipline of decomposing a messy, real problem into equations you can actually solve.

02

Connectomics as Graph Theory

The Neuroscientist

Super-resolution for the most complex known graph — predicting high-resolution brain graphs from sparse, noisy observations. Open data, released to the community.

03

From ML to Swarms

The Agent Builder

From-scratch ML → federated learning → agents. Today: LLM systems end to end, and a working thesis that emergence echoes the brains I studied.

让我们聊聊!