Signal Active
01 · Raw Signal
数据层
02 · Decision Core
決断核
03 · Product Output
製品出力
雑音の海に 信号は静かに宿る 決断として
AI Product · Data Science · Design
LusanSignal in Noise · ノイズの中の信号
AI Product Innovator Senior Data Scientist End-to-End Builder
決断核 · 処理中
Explore
Data Stream
—— particles
Decision Core
—— nodes
Product Output
—— artifacts
The Signal

About

"My first training ground was the ocean — learning to infer what was happening in places with no ground truth, using data from oblique angles."
Background & Method
A PhD in marine environmental science at the University of Tokyo, then 50+ data science projects across HR, healthcare, aerospace, and natural science at a Tokyo think-tank. Each domain crossing reinforced the same instinct: find the signal first, then build.
That instinct began with satellite and meteorological data — reasoning about ocean conditions from indirect dimensions, with no direct measurement to validate against. It became the methodological foundation that I carry into every AI product challenge today.
Role Today
An end-to-end AI product innovator in the pharmaceutical industry, covering the full arc from data modeling to UI/UX design to executive communication — across four languages and three professional domains.
The rarest part of this combination is not any single capability, but the ability to hold all three simultaneously: data rigor at the model level, product judgment at the decision level, and design clarity at the communication level — without losing fidelity between them.
Cross-Industry Breadth
Life SciencesHealthcareHuman ResourcesNatural ScienceAerospace · DronesThink Tank · ConsultingMarine EngineeringDX · Digital Transform
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English
Fluent
日本語
Fluent
普通話
Native
廣東話
Native
Capability System

Three-Axis Capabilities

Not a List, but a Closed Loop

01
01 ·

02
02 ·

03
03 ·

Click any column to expand skills & details
记
Writing

The Archive 記事

Perspectives on AI, Data, Product & the Signal in Between

アーカイブを見る
同一个方案，说给工程师和说给 CEO 为什么要完全不同
Communication

同一个方案，说给工程师和说给 CEO 为什么要完全不同

四种语言的切换训练了我一种本能：受众的语境决定了什么是「信号」，什么是「噪声」。

8 min read Read
AI Product 16 min read
跨越空白的三种架构：从 POC 到规模化的路径选择
Part 3 of Series
Data Science 12 min read
当数据会说谎：辛普森悖论在医疗 AI 中的实战案例
AI Product 11 min read
谁来负责那片空白：数据科学家、产品经理还是没有人？
Part 2 of Series
Archive
2 Series
9 Articles

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AI 時代の創造的思考：ノイズの中からシグナルを見出す
Communication

AI 時代の創造的思考：ノイズの中からシグナルを見出す

情報過多の時代において、真に価値のある情報を見極めるための視点と、AI を活用した思考の整理術について考察します。

8 min read 読む
Data Science 6 min read
データドリブンから「意味ドリブン」へ：数字の裏側にある真実
AI Product 14 min read
なぜ AI プロダクトは最後の一マイルで失速するのか
シリーズ 第1篇
Data Science 12 min read
モデルの限界と倫理：シグナルが語らないこと
シリーズ 第3篇
アーカイブ
2 シリーズ
7 記事

すべての記事を見る
Ongoing Series
Series 01 · 为什么 AI 产品总在最后一公里失速
3 / 4 Parts · Coming soon
Explore Series
進行中のシリーズ
シリーズ 01 · なぜ AI プロダクトは最後の一マイルで失速するのか
1 / 4 篇 · 次回近日公开
シリーズを読む
Connection
Let's find
the signal
together.

If you have topics related to AI product innovation, data methodology, or cross-domain problem solving that you want to discuss deeply, feel free to reach out through the following channels.

Email
hello@lusan.com → LinkedIn
linkedin.com/in/lusan →

Note：The content of this website represents personal views and experiences and is not related to the position of the employment agency.