The One Deeper Podcast

Udesh Habaraduwa

I talk to interesting people about things I want to understand. onedeeper.substack.com

  1. Ep.43 - Jürgen Claesen : Atomic Measurements To Big Data

    MAY 2

    Ep.43 - Jürgen Claesen : Atomic Measurements To Big Data

    Jürgen Claesen is an Assistant Professor of Epidemiology and Data Science at Amsterdam UMC, affiliated with VU Amsterdam, and a guest lecturer at the Data Science Institute, Hasselt University. His research focuses on the development of statistical and computational methods for high-throughput biological experiments. Research Expertise: His work is primarily focused on high-dimensional omics, specifically in the fields of sequencing and mass spectrometry. Specialized Methodologies: He has extensive experience in structural bioinformatics, computational proteomics, and next-generation sequencing. Key Research Themes: Immune Age: He contributed statistical methodology to recent research developing metrics that predict outcomes in clinical patients using T-cell-based immune age data. Mass Spectrometry: A significant portion of his research involves Hydrogen/Deuterium Exchange Mass Spectrometry (HDX-MS) and developing computational tools for structural biology. Radiation and Microbiology: His research has explored the effects of radiation on microbial communities, including intestinal dysbiosis in irradiation models and soil microbial changes from long-term radionuclide contamination. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    58 min
  2. Ep.42 - Linda Douw : More Than The Sum Of Its Parts

    FEB 13

    Ep.42 - Linda Douw : More Than The Sum Of Its Parts

    Linda Douw is an Associate Professor at the Department of Anatomy and Neurosciences at Amsterdam UMC, where she leads the Multiscale Network Neuroscience (MULTINET) research section. A neuroscientist focused on brain tumors, she specializes in using network theory to integrate multiscale data—from cellular and molecular features to macroscale brain structure and function via MRI, MEG, and EEG—to improve outcomes for glioma patients. Her work tackles the complexity of gliomas by modeling disease progression from micro to macro scales, predicting postoperative cognitive decline, and developing personalized interventions through interdisciplinary collaborations with neurosurgery, neurology, and oncology. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 36m

  3. 12/11/2025

    Ep.41 - Mark van de Wiel : Duct-Taped Math & The Art of Uncertainty

    Mark van de Wiel is a Professor of Biostatistics at Amsterdam UMC and the head of the “Big Statistics” research group. An expert in high-dimensional data analysis, he specializes in solving one of the toughest problems in medical machine learning: how to make trust worthy inference when you have massive amounts of biological features (like 10,000 genes) but very few patients. Find his blog posts at : https://blog.vvsor.nl/author/markvanderwiel/ 💬 Notable Quotes “The burden of proof is against the simpler model. And what I often see is that actually this has been reversed... If you want to apply a fancy neural network, you should show that it is worth the effort.” “Not knowing the uncertainty is basically knowing nothing because you make very important predictions on people’s health.” “Reading machine learning papers... it’s like duct-taped math. You take a piece of math, duct tape it here... and as long as you don’t shake it, everything’s fine.” This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 2m
  4. Ep.40 - Ivan Oransky : Good science, poor science

    09/01/2024

    Ep.40 - Ivan Oransky : Good science, poor science

    In this episode, I'm joined by Ivan Oransky, co-founder of Retraction Watch and journalist in residence, teaching both graduate and undergraduate students, at NYU. Ivan has a wealth of experience in science journalism and is a vocal advocate for transparency in scientific publishing. Key Topics Discussed: * Scientific Integrity and Fraud: Exploring the challenges of maintaining integrity in science and the prevalence of fraudulent behavior in academia. * Incentives in Science: How current metrics and incentives may encourage poor scientific practices and how they could be improved. * Retraction Watch: The role of Retraction Watch in promoting transparency and accountability in research through its extensive database of retractions. * Peer Review and Publication Pressure: A discussion on the limitations of the peer review process and the pressure to "publish or perish" in academia. Resources: Nobel Laureates on how to do great work in science. Does Science Self-Correct? What We`ve Learned at Retraction Watch, Ivan Oransky Ivan Oransky Co-Founder of Retraction Watch Discusses Scientific Research Integrity Goodhart’s Law This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    42 min
  5. Ep.39 - Elias Schlie : Lift heavy, run far

    08/04/2024

    Ep.39 - Elias Schlie : Lift heavy, run far

    In this episode, we dive into the fascinating world of human augmentation and longevity. We discuss the potential future advancements in human biology and technology, exploring how we might enhance our bodies and extend our lifespans. Check out Elia’s Podcast : The Rational Optimization Podcast Key Topics Discussed: * Human Augmentation and Cyborg Technology: * The potential for integrating technology into our bodies, including the concept of gradually replacing biological components with artificial ones. * Longevity and Healthspan: * Strategies to prolong life, including exercise, diet, and the potential future role of drugs and biotechnology. * Discussion on aging research and the possibility of significantly extending human lifespans. * Future Technologies in Health and Medicine: * The concept of measuring and optimizing health parameters continuously through advanced technologies. Interesting Mentions: * Young Blood Transfusions: Discussion on the controversial and experimental practice of young blood transfusions for anti-aging purposes. * David Sinclair's Research: Insights into the work of David Sinclair, a prominent aging researcher, and his approach to extending lifespan. Some Questions Posed: * How far can we push the boundaries of human performance and longevity? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 36m

  6. 02/14/2024

    Ep.38 - Maryam Alimardani : Brain-Computer Interfacing

    In this episode I’m joined by Dr Maryam Alimardani. Maryam is an associate professor at Tilburg University’s Department of Cognitive Science & A.I. Find her research on her Google Scholar page Key Topics Discussed: * Human-Robot interaction: The potential of robots in educational settings and importance of developing effective human-robot communication. * Brain-Computer Interfaces (BCIs) : We delve into how they work, the use of BCIs for medical applications, educational tools and enhancing human capabilities, including the possibilities for neuroprosthetics. * Future directions in BCI research : We discuss future prospects for the field, the limitations and problems that need to be addressed. Some things we mentioned: SonzaikanRubber hand illusion Paper - Humanlike robot hands controlled by brain activity arouse illusion of ownership in operators How do we safely study living brains ? Transcranial magnetic stimulation (TMS) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 15m
  7. Ep.37 - Daniel Elton : Physics, AI, healthcare and the future of technology

    01/27/2024

    Ep.37 - Daniel Elton : Physics, AI, healthcare and the future of technology

    In this episode we delve into the intersections of artificial intelligence, science, and the pursuit of knowledge. Our guest, Daniel Elton, a researcher with a background in physics who later transitioned into AI and machine learning, shares his insights on a wide array of topics, from epistemology to chemistry. We discuss the intricacies of AI development, the challenges in the field of medical imaging AI, and the potential of AI in future technological advancements. The conversation also touches on the ethical and practical aspects of AI in healthcare, including its current uses and limitations. Check out Daniel’s Blog: ⁠https://moreisdifferent.blog/⁠ Key Topics Discussed: * Transition from Physics to AI: Our guest shares his journey from studying physics to delving into the realms of AI and machine learning. * AI in Medical Imaging: We explore the use of AI in medical imaging, discussing both its groundbreaking potential and the current challenges it faces, such as data labeling and integration into healthcare systems. * AI Hype: We touch on the general weakness of current AIs (including LLMs), some of the hype and some of the noteworthy achievements.  * The State of AI in Healthcare: The discussion provides insights into how AI is currently being utilized in healthcare, its overhyped aspects, and the realistic applications that are making a difference. * Ethical Considerations in AI: The conversation delves into the ethical dimensions of AI development and deployment, especially in sensitive fields like healthcare and personal data handling. * Future of AI and Technological Advancements: We discuss exciting future prospects in AI, including the development of household robots and AI's role in advancing human capabilities. * Challenges in AI Research and Development: Daniel sheds light on the practical challenges in AI research. * The Role of AI in Drug Discovery and Development: A look at how AI is impacting the field of drug discovery, the potential it holds, and the complexities involved in this process. * Physics, Energy and Technology:  We talk briefly about physics, nuclear energy and technology. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 21m
  8. Ep.36 - Elias Schlie : What is Truth ?

    01/05/2024

    Ep.36 - Elias Schlie : What is Truth ?

    Episode Summary: We engage in a deep and insightful conversation about the nature of truth, its pursuit, and the complexities of understanding reality. My guest, a close friend and fellow thinker, joins me in exploring these profound topics, shedding light on the nuances of rationality, the role of intuition, and the importance of setting goals in the quest for truth. Check out his podcast : The Rational Optimization Podcast Key Topics Discussed: The Concept of Truth: Delving into what truth means, its significance, and the challenges in defining and agreeing upon it. Rational Decision-Making: Examining how rationality and decision-making processes influence our understanding of truth and reality. The Role of Intuition: Discussing the value of intuition in understanding complex phenomena and making decisions. Evolutionary Perspectives: Analyzing how evolutionary processes and natural selection contribute to our understanding of truth. The Intersection of Science and Philosophy: Exploring how scientific thinking and philosophical inquiry intersect in the pursuit of truth. The Impact of Goals on Truth-Seeking: Understanding how personal goals and societal objectives shape our pursuit and understanding of truth. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit onedeeper.substack.com

    1h 42m
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About

I talk to interesting people about things I want to understand. onedeeper.substack.com

Information

  • Creator
    Udesh Habaraduwa
  • Years Active
    2022 - 2026
  • Episodes
    43
  • Rating
    Explicit
  • Copyright
    © Udesh Habaraduwa
  • Show Website
    The One Deeper Podcast