Sunghee Yun (He/Him)

Co-Founder & CTO @ Erudio Bio, Inc., Co-Founder & CEO @ Erudio Bio Korea, Inc., Organization Manager @ Silicon Valley Privacy Preserving AI Forum (K-PAI), KFAS-Salzburg Global Leadership Initiative Fellow @ Salzburg Global Seminar, Adjunct Professor @ Sogang University, Advisory Professor @ DGIST, Global Advisory Board Member @ Innovative Future Brain-Inspired Intelligence System Semiconductor of Sogang University, Network Expert @ Gerson Lehrman Group, Advisor & Evangelist @ CryptoLab, Inc., Chief Business Development Officer @ WeStory.ai

NotebookLM Podcasts

Korean versions

Goals

If you have reached this page, you are among the chosen few :) because this page cannot be reached by any sequence of links from my homepage; a separate URL must have been given to you by me.

This page illuminates how my business and social activities interconnect with the multiple roles I hold, and most importantly, with the future I am designing & planning and executing. It complements my About page while revealing a different dimension of my work.

While my multiple concurrent roles—Co-Founder & CTO @ Erudio Bio, Inc., CA, USA, Co-Founder & CEO @ Erudio Bio Korea, Inc., Chief Business Development Officer (CBDO) @ WeStory.ai, CA, USA, Advisor & Evangelist @ CryptoLab, Inc., KFAS-Salzburg Global Leadership Initiative Fellow @ Salzburg Global Seminar, Salzburg, Austria, an Adjunct Professor of Department of Electronic Engineering @ Sogang University, Seoul, South Korea, an Advisory Professor of Department of Electrical Engineering & Computer Science (EECS) @ Daegu Gyeongbuk Institute of Science & Technology (DGIST), South Korea, Global Advisory Board Member @ Innovative Future Brain-Inspired Intelligence System Semiconductor of Sogang University, and Network Expert Consultant @ Gerson Lehrman Group, Inc.—across too many domains, they’re all interconnected threads of the same intellectual fabric.

The Convergence - AI, Data, and Biotech

… this immediate recognition signals the Nobel Committee's acknowledgment of AI's transformative potential.

In 2024, the Nobel Prize Committee awarded the Nobel Prize in Chemistry to a non-chemist—Demis Hassabis, CEO of Google DeepMind. This unprecedented recognition came primarily due to AlphaFold 3, which can accurately predict the 3D folding of virtually any protein that could exist in the world. While Nobel Prizes typically recognize contributions that have proven their value over decades, this immediate recognition signals the Nobel Committee’s acknowledgment of this technology’s transformative potential.

This achievement reveals two critical aspects of AI:

  • First, its remarkable versatility. The same algorithmic foundations (essentially deep reinforcement learning complemented by Monte Carlo tree search) that once mastered Go at the world champion level have been adapted to predict protein folding with unprecedented accuracy and predictability.
  • Second, AI—particularly with current deep neural network architectures—requires vast amounts of quality data. AlphaGo leveraged thousands of years of Go play history from China, Japan, and Korea. Similarly, AlphaFold built upon decades of biochemists’ painstaking work.
   

The AI Vision of Erudio Bio

This understanding drives Erudio Bio’s AI vision. We’re not merely developing multiplexing biomarker detection and screening technology. We’re building an AI-powered multiplexing biomarker data platform for Agentic AI that delivers differentiated value through quality biological data at scale.

With this foundation, Erudio Bio can:

  • Perform knowledge discovery using AI, e.g., predicting cancer probability or hospital readmission risk
  • Develop bio data business models similar to Mayo Clinic’s established approach
   

The Connection to Private AI

The moment we engage with biological or medical data, we encounter privacy challenges as well as similar to those in high-tech industries like semiconductor fabrication; I have first-hand experience with this while working for Gauss Labs, Inc. as CTO for 3 years. This explains my role as Advisor and Evangelist at CryptoLab—not a coincidence but an inevitability.

CryptoLab provides essential toolkits for private AI—enabling model training on privacy-sensitive data without compromising security, confidentiality, or privacy. This connection prompted me to found the Silicon Valley Private AI Forum (K-PAI) with the CEO of CryptoLab.

Thus, the companies and forums I own or support through business development are all interconnected parts of a coherent vision.

   

The Age of Agentic AI

Taking a broader view, as I explain in Beyond Models – Why Domain Insight and Quality Data Will Define AI’s Future, we’ve entered the age of Agentic AI. In this era, domain expertise combined with the ability to leverage AI agents has become crucial—which explains my work with WeStory.ai.

   

Beyond Technology - AI’s Unprecedented Impact

I believe AI transcends the category of “just another technology” like the Industrial Revolution, Internet, or Mobile. While it shares traits with these transformations—such as its vast impact radius—the dynamics and nature of AI’s effects are unprecedented. (I’ll explore this further in an upcoming post.1)

This perspective drives me to seek opportunities where I can contribute to humanity through my differentiated insights, technological knowledge, and fundamental understanding of AI algorithms—all built on a strong mathematical foundation and capacity for deep philosophical thinking.

This mission led me to join Salzburg Global Seminar, a 78-year-old nonprofit organization, as a KFAS-Salzburg Global Leadership Initiative Fellow.

   

Here are resources that provide deeper insight into my work and perspectives:

I hope this page helps you better understand my integrated vision and the interconnected nature of my work. :)

  1. However, I cannot promise how soon!  ↩