Conversations On Science

Idris Sunmola

I have thought provoking conversations with research professors and students about their work, and how it impacts humanity.

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    Mathilde Caron, Self-Supervised Learning Research

    Mathilde Caron is a PhD. candidate at the French National Institute for Research in Digital Science and Technology and at Facebook AI (Meta AI). She does the majority of her research in the field of Machine learning called self-supervised learning. She has a few first authorships on important academic papers in the space. Her work: https://scholar.google.com/citations?user=eiB0s-kAAAAJ&hl=fr You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Robert Huang, Quantum Computing Research

    Robert Huang is a PhD candidate at the California Institute of Technology where he does theoretical research in the field of quantum computing. He is advised at CalTech by professors John Preskill and Thomas Vidick. His research touches on esoteric topics like quantum intelligence and quantum formalisms. All which we go into at great details. If you've ever wanted to understand the fundamentals of quantum computing, this episode is for you. According to his website, he works on the interplay between quantum physics and computer science (information theory, machine learning, complexity theory). His work: https://hsinyuan-huang.github.io/ You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Professor Maura Dykstra, Qing Dynasty Research

    Professor Maura Dykstra is a professor of history at the California Institute of Technology. She is an historian of late imperial Chinese history in which she obtained her PhD. from UCLA. She has held fellowships at East China Normal University in Shanghai, the Max Planck Institute for European Legal History, the Center for Chinese Studies at the National Library of Taipei, Harvard University, and the University of Tokyo. Her current research focuses on the evolution of the Qing bureaucracy and the archival technologies that the Manchu state used to rule over its own officials and the locales for which they were responsible. Her works include: A Crisis of Competence: Information, Corruption, and Knowledge about the Decline of the Qing State https://journalhistoryknowledge.org/articles/10.5334/jhk.11/ Beyond the Shadow of the Law: Firm Insolvency, State-Building, and the New Policy Bankruptcy Reform in Late Qing Chongqing https://journal.hep.com.cn/fhc/EN/10.3868/s020-002-013-0028-8 You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Dr. Sumner Norman, Brain Machine Interface Research

    Dr. Norman is a postgraduate researcher in the lab of professors Richard Anderson and Mikhail Shapiro at the California Institute of Technology. He did his baccalaureate education in mechanical and aerospace engineering at the University of Utah. He was also an NSF graduate research fellow studying human-robot interactions. His current work is in Brain-Human Interfaces (BMIs). Him and his team at Caltech recently published a seminal paper on a new technique poised to revolutionize the field of minimally invasive BMIs. They call it Functional Ultrasound, and it is a proof of concept in an effort to give the hope of mobility back to those suffering from paralysis. You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Dr. Mohamed Amgad, Machine Learning in Histopathology Research

    Dr. Mohamed Amgad is a medical doctor from Egypt and a current PhD candidate at Emory University’s computer science department. He’s also currently a visiting predoctoral fellow at Feinberg School of Medicine. He and I are labmates at the Institute for Augmented Intelligence in Medicine at The Feinberg School of Medicine at Northwestern University. For this episode, we go in depth on how computer science is being used to detect pathologies in tissue samples with the goal of making clinical predictions. This was a phenomenal master class on machine learning in medicine. Enjoy! You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Dr. Katie Hsiao, Short-term memory Research

    Dr Katie Hsiao is a Taiwanese neuroscience researcher at the prestigious Rockefeller University in New York. She’s a member of the Rajesethupathy Lab headed by Dr. Priya Rajesethupathy. She did her graduate work at the Icahn School of Medicine at Mount Sinai where she trained under Dr. Deanna Benson. We talked about the smallest unit of cognitive computation, synapses. Also how synapses are the starting point for memory and psychiatric pathologies. This was an illuminating conversation. Enjoy! You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Michael Biddlestone, Conspiracy Theory Research

    Michael Biddlestone is a postgraduate researcher and associate lecturer in the school of Psychology at the University of Kent in Canterbury UK. His research is focused on the group-orientated Social Identity motives behind conspiracy theory belief. You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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    Rachel Sherman, Genome Sequencing Research

    Rachel Sherman is a PhD candidate in computer science at The Johns Hopkins University. She does most of her research in the Salzberg Lab under professor Steven Salzberg where she analyzes human genomic data. Her groundbreaking work has been featured in prominent publications like The Atlantic. Publications: https://www.theatlantic.com/science/archive/2018/11/human-genome-300-million-missing-letters-dna/576481/ https://www.nature.com/articles/s41588-018-0273-y http://ccb.jhu.edu/people/rsherman/ You can donate to this podcast at this bitcoin address: 33wejXuGGDtQj9GPwCgjwPxPq4dc4muZjg

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I have thought provoking conversations with research professors and students about their work, and how it impacts humanity.

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  • صناع العمل
    Idris Sunmola
  • سنوات النشاط
    ٢٠١٩ - ٢٠٢١
  • الحلقات
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  • التقييم
    ملائم
  • حقوق النشر
    © Idris Sunmola
  • موقع البرنامج على الويب
    Conversations On Science