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AI expert & deep learning pioneer

Ian Goodfellow

Unleash the power of deep learning and artificial neural networks to revolutionize your industry with Ian Goodfellow, speaker, computer scientist, and AI expert.

Trusted by Google, OpenAI, Apple, DeepMind

Ian Goodfellow
Ian Goodfellow

Ian Goodfellow

Los Angeles, United States

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Ian Goodfellow

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Los Angeles, United States

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Ian Goodfellow's biography

At a glance

  • Invented Generative Adversarial Networks (GANs)
  • Co-author of the book Deep Learning
  • Named in MIT Technology Review's 35 Innovators Under 35

Ian Goodfellow is a renowned computer scientist known for his groundbreaking work in deep learning and artificial neural networks. He has made significant contributions to the field, including inventing the generative adversarial network, which has been unfortunately misused for creating disinformation and deep fakes. With a strong background in machine learning and artificial intelligence, Ian is highly sought after as a speaker and has earned recognition as one of the industry's next generation leaders. He holds a BSc and MSc in Computer Science from Stanford University and completed his PhD in Machine Learning at the Universite de Montreal under the supervision of Yoshua Bengio. Ian has worked at top companies such as Google, OpenAI, and Apple, and is currently a Research Scientist with DeepMind. He has been named in MIT Technology Review's 35 Innovators Under 35 and Foreign Policy's 100 Global Thinkers. Ian is also a co-author of the book Deep Learning and has contributed to the AI textbook Artificial Intelligence: A Modern Approach. His speaking engagements cover topics such as generative models, AI, machine learning, and deep learning. You can find him on social media and contact PepTalk for booking inquiries.

Why we recommend booking Ian

Ian brings unparalleled expertise in AI and deep learning, offering cutting-edge insights from his work on generative adversarial networks and beyond. His experience at leading tech companies and academic achievements provide a unique perspective on the future of technology. Booking Ian as a speaker will inspire your team with innovative ideas and prepare your business for the next wave of AI advancements.

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Trusted by Google, OpenAI, Apple, DeepMind

frequently asked questions

Something we've not covered here?

How do I book Ian Goodfellow for my next event?

Email ian.goodfellow@getapeptalk.com or call PepTalk on +44 20 3835 2929 (UK) or +1 737 888 5112 (US), and one of our speaker agents will contact you within hours to confirm Ian's availability and fees. If you can, please include your budget upfront – it helps us fast-track your request. It’s also helpful to know the date, format (virtual or in-person), location, and a bit about your audience.

What is Ian Goodfellow's speaking style like?

Ian Goodfellow draws on his primary research contributions — most notably the invention of Generative Adversarial Networks — to ground his talks in first-hand technical development, using his co-authored textbook Deep Learning as a reference framework for audiences engaging with machine learning concepts.

What topics does Ian Goodfellow specialise in?

Ian Goodfellow speaks on deep learning, generative models, machine learning, and AI ethics, drawing on his invention of generative adversarial networks and their implications for disinformation and synthetic media. He completed his PhD in Machine Learning at the Université de Montréal under Yoshua Bengio, has held research roles at Google, OpenAI, Apple, and DeepMind, and is co-author of the textbook Deep Learning.

Does PepTalk charge a booking fee?

No. PepTalk adds no booking fee, so you pay the speaker's fee and nothing beyond it. The service, from shortlist through to contracts and event-day logistics, is included. For repeat or multi-event bookings, PepTalk can agree preferential rates with your procurement team.

What happens after I send a brief?

Share your event date, audience, format, objectives and budget, and PepTalk sends a hand-picked shortlist within 24 hours. Each suggestion comes with a profile, a fee and a recommendation on the strongest fit. Once you choose, PepTalk handles contracts, travel and logistics through to event day.

What does the typical fee range mean?

The typical fee range is the speaker's standard in-person fee in their home market, shown in their local currency. It moves with format, location, date and session length: virtual sessions and shorter slots usually cost less, while international travel and peak dates cost more. Send your brief to PepTalk and the team will confirm the exact fee in your currency.

Have all the speakers on the website worked with PepTalk before?

Not all of them, and it makes no difference to your booking. PepTalk's network of 15,000+ speakers covers talent the team works with directly alongside speakers represented by agents and agencies worldwide. PepTalk approaches the speaker, negotiates the fee and handles contracting either way.

How far in advance should I book a speaker?

Three to six months ahead is comfortable for most events, and 12 months is better for large conferences, peak-season dates or one specific in-demand speaker. Shorter timelines are workable, and PepTalk regularly fills last-minute and replacement bookings within days. Availability is the constraint, so get in touch as soon as you have a date.