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Eirwyn Zhang

CEO in DUAL-USE & DEEP-TECH | EXEC ED. INSTRUCTOR | SELECTIVE CAPITAL & OPERATING PARTNER

Public CV

Physical AI & Automation

Infrastructure & Autonomy

Simulation-Driven Strategy

01 — SYNOPSIS

Biography

Eirwyn Zhang is an investment operator, systems architect, and selective capital partner focused on programmatic downside insulation, automation, and yield optimization for high-value physical assets and resilient infrastructure. He began his career programming aerodynamic simulation solvers for Scuderia Ferrari and core engine architecture for Crytek, culminating in a proprietary software asset acquisition by Chengdu Landmark in 2020.

Over the following four years, he translated this computational background into automated spatial and land development pipelines, licensable IP, and executive-facing analysis for real-asset decision makers. As Chief Analyst at Adeptus Capitalis, he develops structural analysis of capital allocation at the intersection of physical AI, autonomy, and sovereign systems. Incubating a stealth physical AI venture within the Harvard Business School Foundry, Eirwyn is a member of the MIT Dual-Use Venture Cohort 2026 and leads world-model research for autonomous industrial machinery.

02 — DOMAINS

Capability

Carnegie Mellon

AI, LLM Systems & World Models

MIT Dual-Use

Production, Capital & Governance

HBS Foundry

Deep-Tech IP & Capital Economics

Scuderia Ferrari

HPC & High-Fidelity CFD Simulation

I.

Autonomous Systems & Simulation

Building high-fidelity simulation, edge autonomy, and multi-agent software systems for physical environments where latency, sensor uncertainty, and deployment constraints materially determine asset performance.

II.

Technical Diligence & Capital Risk

Translating engineering physics, autonomy assumptions, and infrastructure dependencies into underwriting-relevant risk categories, failure-mode maps, exposure models, and executive decision memos.

III.

Infrastructure Strategy & Sovereign Resilience

Structuring physical AI and real-asset technology programs around resilient infrastructure, secure production pathways, export-aware operating assumptions, and allied regulatory or mission constraints.

03 — EXPERIENCE

History

Calyxis Inc.

Founder & CEO2026 — Present
  • ■ Selected for the Harvard Business School Foundry (Defense, Aerospace, and Physical Science Cohort) to incubate an enterprise-grade platform specializing in physical AI control systems, autonomous edge-computing, and resilient sovereign utility infrastructure.
  • ■ Engineering autonomous software engines designed to operate reliably in highly contested or unstructured terrains where traditional GPS and sensor networks fail, preserving asset utility under extreme conditions.

Adeptus Capitalis

Chief Analyst2024 — Present
  • ■ Lead analytical publication dissecting investment decision frameworks, risk architectures, and terminal valuation drivers at the intersection of physical AI, autonomous systems, and sovereign infrastructure; detailed company-specific analyses remain confidential where required.
  • ■ Develop structural models to stress-test supply chains, autonomy programs, and cross-border capital flows for institutional and family office allocators under competitive and regulatory pressures, translating technical uncertainty into allocation-relevant risk categories.
  • ■ Translate simulation, autonomy, and capital data into executive briefings, decision memos, and implementation recommendations that bridge technical feasibility with investment and policy considerations.

Private Family Office

Selective Capital Partner2019 — Present
  • ■ Advise on direct technology and real asset allocations; deploy mathematical risk models and structural simulation to stress-test supply chains, autonomy programs, and software infrastructure under competitive pressure.
  • ■ Selected allocation work, portfolio materials, and long-form case analyses are available under appropriate confidentiality terms.

Chengdu Science & Art Development Co., Ltd.

Partner2023 — Present
  • ■ Directed the strategic conversion of internal spatial R&D into a scalable, licensable intellectual property platform, moving the firm from bespoke service delivery toward repeatable technology-enabled revenue.

Massachusetts Institute of Technology

Co-Author & Editor, Dual-Use Horizon Report2026
  • ■ Selected for the MIT Mission Innovation X Dual-Use Venture Cohort 2026; served on the core Editorial Team for the MIT Dual-Use Horizon Report 2026.
  • ■ Co-authored and edited a strategic operational blueprint focused on capital sourcing, secure domestic production footprints, and systemic/regulatory failure modes across NATO and AUKUS partner contexts.

Southern New Hampshire University

Program Director, AI Summit2024 — 2025
  • ■ Deployed university grant funding to design and execute the organization’s inaugural AI summit; coordinated 25 technical tracks and 35 speakers from the US Chamber of Commerce, CMU, and Synadia, translating AI capabilities into operational real-asset solutions for 200,000+ stakeholders.

Chengdu Lanma Sight Decoration Art Engineering Co., Ltd.

Director of Digital Transformation & Software Solutions2019 — 2023
  • ■ Rebuilt regional land development and infrastructure workflows from labor-intensive manual production into automated spatial computing pipelines; delivered photorealistic, physics-mapped digital environments for multi-million-dollar real assets.
  • ■ Replaced flat 2D blueprints with interactive 3D simulations for virtual milestone auditing by JV partners; deployed real-time rendering to support pre-leasing and planning for retail and hospitality corridors, including the 416-meter Kuanzhai Alley historic corridor.

Simulation & Engine Architecture

Scuderia Ferrari · Crytek · Creative Assembly2015 — 2019

Scuderia Ferrari

Simulation Engineer

Programmed high-fidelity fluid dynamics solvers to optimize aerodynamic wide-tire wake and diffuser geometry; delivered 50× more high-fidelity iterations per week than legacy CPU setups.

Crytek

Engine Architect

Engineered large-scale zero-dependency proprietary C++ simulation engine sustaining 120 FPS on PC and 60 FPS on console hardware without third-party libraries.

Creative Assembly

AI Programmer

Designed the core algorithmic logic and pathfinding enabling thousands of autonomous agents to navigate resource-constrained spatial environments; shipped globally in Total War: Warhammer I.

04 — FOUNDATION

Education

University of Pennsylvania

Master of Science in Engineering (MSE) in AI Program

ACTIVE

Carnegie Mellon University

Master’s in Computational Data Science (GAI & LLM Focus, Scholarship Recipient)

Southern New Hampshire University

STEM MBA, Management Science and Quantitative Methods

Southern New Hampshire University

Bachelor of Science, Computer Information Systems

Certifications

AI/ML Engineering

IBM

AI Engineering Professional Certificate

AI for Decision-Making, Data Science & Finance

MIT Professional Education

Applied Data Science Program: Leveraging AI for Effective Decision-Making

ELVTR

AI/ML in Financial Services

Generative AI Leadership & Change

Vanderbilt University

Change Management for Generative AI

AI Product, Human Factors & Perception

Duke University

AI Specializations: AI Product Management, Human Factors in AI, Visual Perception and the Brain, Managing Machine Learning Projects