The NYUAD Institute is a center of advanced research, scholarly and creative activity, and public workshops. Institute programs facilitate discussion between academics, students, professionals, and leaders from the UAE and from around the world.

NYUAD Institute
Claim This Podcastby NYUAD Institute
Podcast Authority
Beta
Podcast Overview
The NYUAD Institute is a center of advanced research, scholarly and creative activity, and public workshops. Institute programs facilitate discussion between academics, students, professionals, and leaders from the UAE and from around the world.
Language
🇺🇲
Publishing Since
12/12/2016
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
Podcast Authority
Beta
Recommendations available
Unlock the full report to see detailed tips
Recommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
1 verified contact email on file for NYUAD Institute
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

June 9, 2026
Commonsense Psychology in Minds and Machines
How do we understand the minds of others? This talk explores the foundations of "commonsense psychology" by comparing how infants, adults, and AI systems infer intentions from actions alone. By pitting human intuition against state-of-the-art neural networks, this work tackles foundational debates across psychology, philosophy, and computer science — revealing the origins of intelligence, the divide between natural and artificial minds, and what it will take to build truly human-like, trustworthy AI. Speaker Moira R. Dillon, Assistant Professor of Psychology, NYU

June 9, 2026
The (Modest) Triumph of the Embryo
The talk explores the historical relationships that exist between the development and the evolution of embryos. What is the link between our developmental origin as individuals (a fertilized egg), on the one hand, and our evolutionary origin as a group of individuals (an ancestral population), on the other hand? And these embryos, are they really extraordinary constructions relying on carefully accumulated, multiple sets of precisely encoded instructions or instead, could they be the mere and only obligatory result of a chaotic program haphazardly built during the past hundreds million years? Speaker Denis Duboule, Professor of Genetics and Chair of Evolution of Development and Genomes, Collège de France, Paris Organized by Claude Desplan, Silver Professor of Biology and Neuroscience, Department of Biology, NYU

June 9, 2026
Bridging the Bedside & the Bench: A MedTech Panel Discussion
Engineering a solution is one thing; making it work in a high-stakes clinical environment is another. This panel discussion features the minds who build the tech and the hands that use it. Leading bioengineers and frontline clinicians from NYU, NYU Abu Dhabi, the University of Michigan and the University of Maine deconstruct the challenges of medical device innovation. The topics include glaucoma and other chronic diseases such as metabolic, cardiovascular, and neurologic diseases. The discussion also touches on AI, robotics, and wearable technology to improve patient care. Panel Members Andreas Hielscher, Professor of of Biomedical Engineering, NYU Tandon School of Engineering Shy Shoham, Professor of Neuroscience and Ophthalmology, NYU School of Medicine and Tech4Health Giovanna Guidoboni, Professor of Electrical and Computer Engineering and Dean of Engineering and Computing, University of Maine Manjool Shah, Clinical Associate Professor of Ophthalmology and Visual Sciences and Associate Chair of Innovation, University of Michigan Sefy Paulose Joshi, Assistant Professor of Ophthalmology, NYU Langone Health Moderated by Yong-Ak (Rafael) Song, Professor of Mechanical Engineering and Bioengineering and 19 Washington Square North Faculty Fellow, NYUAD
357 total episodes available
Recent guests on NYUAD Institute
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Ibrahim al-Koni
Guest
Gianluca Chakra
Guest
Rawan Al-Dabbas
Guest
James Lewis
Guest
Mayra Ruiz-McPherson
Guest
Abdullah Alsharekh
Guest
Kaustuv Kanti Ganguli
Guest
Similar Podcasts
Discover related shows you might enjoy
Deep-dive analytics for NYUAD Institute
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is NYUAD Institute?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
