Math & Physics Podcast

Today I speak with Jose Arnal, a senior PhD student at the University of Toronto Institute for Aerospace Studies. His research focusses on space weather and data assimilation techniques to better predict the flow properties of the solar wind. We talk about the recent CMEs (which caused the Northern Lights), solar activity, and common techniques to model these events. Enjoy! For further questions, feel free to email Jose at:  ⁠jose.arnal AT mail.utoronto.ca⁠ Connect with Jose on LinkedIn: ⁠https://www.linkedin.com/in/jose-arnal-33418b113/⁠ Read Jose's recent paper on data assimilation for MHD: ⁠https://www.sciencedirect.com/science/article/pii/S0045793024002056⁠ - Socials - Instagram: @math.physics.podcast Email: [email protected] Discord: https://discord.gg/M6TMgFA4xb Twitter: @MathPhysPod

Today I talk with Dr. Laurence Perrault-Levasseur about cosmology and a bit of machine learning. Enjoy the conversation!

Today I talk with Dr. Yoshua Bengio. I decided to adopt a more minimalist approach to the podcast. Enjoy the conversation!

Today I speak with Alex, a PhD student in my research group at the University of Montreal, about his research. Enjoy the episode! Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: [email protected] Twitter: @MathPhysPod

Today's guest is Max Sklar, an expert in computer science and information systems, as well as the host of The Local Maximum podcast (https://www.localmaxradio.com/). We highly recommend checking out his show!

*** In the intro I say graph flow networks instead of generative flow networks by accident *** Today's guest is Dr. Emmanuel Bengio. Enjoy this conversation about his research, including the topic of generative flow networks (GFlowNets). Books Referenced: Thinking Fast and Slow by Daniel Kahneman The Fourth Turning: What the Cycles of History Tell Us About America's Next Rendezvous with Destiny by William Strauss and Neil Howe The Culture series by Iain Banks

Today I talk with Dr. Yashar Hezaveh about consciousness, artificial intelligence, perception and gravitational lensing.   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: [email protected] Twitter: @MathPhysPod

Today we talk again with Dr. Michael Miller from the University of Toronto, who is a philospher within the field of physics. Enjoy the conversation! *** The weird audio noise in the background ends at 10:40***   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Books Mentioned --   What is real?: The Unfinished Quest for the Meaning of Quantum Physics by Adam Becker   QED: The Strange Theory of Light and Matter by Richard Feynman   The Structure of Scientific Revolutions by Thomas Kuhn   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: [email protected] Twitter: @MathPhysPod

Today we talk again with Dr. Rajendra Gupta from the University of Ottawa, who has made some interesting discoveries using JWST data. Enjoy the episode.   --Brilliant-- To all our listeners out there, we are so happy to say that you can head over to https://brilliant.org/mpp , and the first 200 of you to sign up will get 20% off your premium membership.   -- Links -- Dr Gupta's paper: https://academic.oup.com/mnras/article/524/3/3385/7221343?login=false Dr Gupta's email: [email protected]   -- Social --  Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: [email protected] Twitter: @MathPhysPod

Today we talk with Dr. Don Figer about his work in the field of astrophysics and detector technology. Enjoy.   Discord: https://discord.gg/M6TMgFA4xb Instagram: @math.physics.podcast Email: [email protected] Twitter: @MathPhysPod