Who is Daphne Koller?

Daphne Koller is an American computer scientist of Israeli descent with general interests in the field of artificial intelligence and its applications in biomedical science. 

Koller, who completed her Master’s degree at The Hebrew University of Jerusalem whilst only 18 years old, is also the co-founder of education platforms Coursera and Engageli as well as machine learning-based drug development company Insitro.

Education and early career

After completing her Master’s, Koller moved to the United States and completed her Ph.D. in Computer Science at Stanford University in 1993. She then undertook postdoctoral research at UC Berkeley’s Computer Science Division under renowned British computer scientist Stuart J. Russell.

Koller then returned to Stanford as a faculty professor in 1995 – a position she would hold until 2014 as the Rajeev Motwani Professor in the School of Engineering. There, her main areas of interest were the modeling and analysis of complex domains using machine learning (ML) and probabilistic methods.

In 2012, Koller spearheaded an effort with Andrew Ng to develop and offer interactive online computer science courses for free. While the courses were graded by students and participants received no academic credit, over 100,000 individuals enrolled. This surprised Koller, who noted that “it was a wake-up call about the demand for this type of education around the world.

Coursera

Based on the popularity of the endeavor and the trend toward massive open online courses (MOOCs), Koller co-founded Coursera with Ng in 2012. 

Koller’s contributions to more accessible online education saw her included among Time magazine’s 100 Most Influential People of 2012. Two years later, Fast Company named her one of its Most Creative People. 

Koller became President of Coursera in 2014 and co-Chairman in 2016 before moving on three years later.

CalicoLabs

Having spent much of the past 18 years in academia, Koller decided it was time for a change. In August 2016, she joined Alphabet subsidiary CalicoLabs as Chief Computing Officer. This enabled her to pursue projects related to her passions for ML and human health.

In March 2018, however, Koller announced “I have decided to leave Calico to pursue other professional opportunities.” During her 18 months or so with the company, Koller designed experiments and worked with large datasets to better understand the science of human longevity.

Insitro

Koller then founded her own company in the field of machine learning-based health called Insitro. According to the company’s website, “deeply experienced biologists and drug hunters work hand-in-hand with leading edge technologists and machine learners. Together, we can answer questions that alone we would not have even thought to ask.

Insitro attracted significant early investment from the likes of Arch, Andreessen Horowitz, Foresite Capital, Google Ventures (GV), BlackRock, and Softbank Investment Advisors. In fact, CrunchBase reports that the company has raised $743 million to date.

Engageli

In more recent times, Koller co-founded the digital learning platform Engageli in August 2020. The company, which came out of stealth in October of that year, released a video conferencing tool akin to a virtual classroom targeted at higher education. 

Koller had the idea for Engageli after observing that the platform her children used to attend virtual classes was not designed to ensure they were attentive, understood the content, or indeed was even interested in it.

Koller remains on the Board of Engageli today.

Key takeaways:

  • Daphne Koller is an American computer scientist of Israeli descent with general interests in the field of artificial intelligence and its applications in biomedical science.
  • Koller then returned to Stanford as a faculty professor in 1995 – a position she would hold until 2014. There, her main areas of interest were the modeling and analysis of complex domains using machine learning (ML) and probabilistic methods. She also met Andrew Ng there and the pair later launched the online course platform Coursera.
  • Koller joined Alphabet subsidiary CalicoLabs as Chief Computing Officer in 2016 to indulge her passions for ML and human health. She then left to found her own company in the field, Insitro, which was followed by the digital learning platform Engageli.

Key Highlights

  • Background and Education:
    • Daphne Koller is an American computer scientist of Israeli descent with a focus on artificial intelligence and its applications in biomedical science.
    • She completed her Master’s degree at The Hebrew University of Jerusalem at the age of 18.
  • Academic and Research Career:
    • Koller earned her Ph.D. in Computer Science from Stanford University in 1993 and conducted postdoctoral research at UC Berkeley.
    • She returned to Stanford in 1995 as a faculty professor, where she became known for her work in the modeling and analysis of complex domains using machine learning and probabilistic methods.
    • Koller co-founded Coursera with Andrew Ng in 2012, offering free online computer science courses that attracted over 100,000 participants.
  • Coursera and Recognition:
    • Koller’s involvement in Coursera’s development made her influential in the field of online education.
    • She served as President and co-Chairman of Coursera before moving on in 2019.
    • Her efforts in online education earned her recognition, including being named one of Time magazine’s 100 Most Influential People in 2012.
  • CalicoLabs and Insitro:
    • Koller joined Alphabet subsidiary CalicoLabs as Chief Computing Officer in 2016, focusing on projects related to machine learning and human health.
    • She later founded her own company, Insitro, in the field of machine learning-based health, attracting significant investment for innovative research in biomedicine.
  • Engageli and Continued Impact:
    • Koller co-founded Engageli in 2020, a digital learning platform focused on enhancing virtual classroom experiences in higher education.
    • The platform aims to improve student attentiveness, content comprehension, and engagement during virtual classes.
    • Koller remains involved on the Board of Engageli.

Read Next: History of OpenAI, AI Business Models, AI Economy.

Connected Business Model Analyses

AI Paradigm

current-AI-paradigm

Pre-Training

pre-training

Large Language Models

large-language-models-llms
Large language models (LLMs) are AI tools that can read, summarize, and translate text. This enables them to predict words and craft sentences that reflect how humans write and speak.

Generative Models

generative-models

Prompt Engineering

prompt-engineering
Prompt engineering is a natural language processing (NLP) concept that involves discovering inputs that yield desirable or useful results. Like most processes, the quality of the inputs determines the quality of the outputs in prompt engineering. Designing effective prompts increases the likelihood that the model will return a response that is both favorable and contextual. Developed by OpenAI, the CLIP (Contrastive Language-Image Pre-training) model is an example of a model that utilizes prompts to classify images and captions from over 400 million image-caption pairs.

OpenAI Organizational Structure

openai-organizational-structure
OpenAI is an artificial intelligence research laboratory that transitioned into a for-profit organization in 2019. The corporate structure is organized around two entities: OpenAI, Inc., which is a single-member Delaware LLC controlled by OpenAI non-profit, And OpenAI LP, which is a capped, for-profit organization. The OpenAI LP is governed by the board of OpenAI, Inc (the foundation), which acts as a General Partner. At the same time, Limited Partners comprise employees of the LP, some of the board members, and other investors like Reid Hoffman’s charitable foundation, Khosla Ventures, and Microsoft, the leading investor in the LP.

OpenAI Business Model

how-does-openai-make-money
OpenAI has built the foundational layer of the AI industry. With large generative models like GPT-3 and DALL-E, OpenAI offers API access to businesses that want to develop applications on top of its foundational models while being able to plug these models into their products and customize these models with proprietary data and additional AI features. On the other hand, OpenAI also released ChatGPT, developing around a freemium model. Microsoft also commercializes opener products through its commercial partnership.

OpenAI/Microsoft

openai-microsoft
OpenAI and Microsoft partnered up from a commercial standpoint. The history of the partnership started in 2016 and consolidated in 2019, with Microsoft investing a billion dollars into the partnership. It’s now taking a leap forward, with Microsoft in talks to put $10 billion into this partnership. Microsoft, through OpenAI, is developing its Azure AI Supercomputer while enhancing its Azure Enterprise Platform and integrating OpenAI’s models into its business and consumer products (GitHub, Office, Bing).

Stability AI Business Model

how-does-stability-ai-make-money
Stability AI is the entity behind Stable Diffusion. Stability makes money from our AI products and from providing AI consulting services to businesses. Stability AI monetizes Stable Diffusion via DreamStudio’s APIs. While it also releases it open-source for anyone to download and use. Stability AI also makes money via enterprise services, where its core development team offers the chance to enterprise customers to service, scale, and customize Stable Diffusion or other large generative models to their needs.

Stability AI Ecosystem

stability-ai-ecosystem

About The Author

Scroll to Top
FourWeekMBA