Chris Masterjohn: COVID-19 to mitochondrial health, communicating and applying "the science"
Razib Khan's Unsupervised Learning
Release Date: 03/30/2026
Razib Khan's Unsupervised Learning
Today, Razib talks to , a nutritional scientist and leading expert in mitochondrial biology who believes hidden energy bottlenecks underlie much of modern disease. After years of work as a professor and researcher, he founded , the first mitochondrial analysis designed for everyday health, and serves as its Scientific Director. His mission is to make mitochondrial testing accessible so people can identify and correct the specific energy limitations holding them back. After earning his PhD in Nutritional Sciences from the University of Connecticut in 2012, he completed a postdoctoral...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning, Razib talks to , a Genetics professor at the Washington University in St. Louis. White has a position at the School of Medicine in St. Louis, where he leads a research team focused on understanding the biophysical architecture of regulatory DNA. He earned a B.A. in music before pivoting to the sciences, receiving his Ph.D. in Biochemistry from the University of Rochester in 2006 and completing a postdoctoral fellowship at Wash U under Dr. Barak Cohen. White’s work combines functional genomics, synthetic biology, computational biology, and deep...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks to . Renn is a , consultant, and known for his work on the challenges facing American cities and religious institutions in the 21st century. He is a contributor to and the author of , a book exploring the cultural shifts regarding Christianity in America. Renn previously served as a Senior Fellow at the Manhattan Institute for five years and as a contributing editor for City Journal, having established his voice on urban policy through his widely cited blog, . Prior to his career in...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks to , a 5th-year Ph.D. student in in the Department of Human Evolutionary Biology. His research focuses on using ancient and modern DNA to answer questions about human history. Tabin completed a degree in Computer Science and Math and Master’s in Computer Science from Rensselaer Polytechnic Institute. He Ph.D. project involves the population genetic history of Central and East Asia. First, Razib and Tabin discuss he co-authored that looks at problematic results in the paleogenetic literature due to contamination...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning Razib talks to about . His Substack, titled , explores world history through the lenses of archaeology, paleogenetics, and historical processes. His writing focuses on "deep history," such as the Bronze Age Collapse and the migration of Indo-European peoples, while connecting these ancient shifts to broader patterns of civilizational rise and fall. Nimitz often integrates technical data from genetics and climate science to challenge traditional narratives about nomadic tribes and early state formations across Eurasia....
info_outlineRazib Khan's Unsupervised Learning
On this episode Razib talks to , VP of external affairs at the Manhattan Institute. His writing and commentary have appeared in the New York Times, Wall Street Journal, The Atlantic, New York Post, Fox News, City Journal and Jerusalem Post. Arm graduated with honors from the University of Michigan, where he majored in international political economy, and studied language and international affairs at Tel Aviv University. He has also worked for Senator Tom Cotton and Representative Dan Benishek, and the analytics arm of American Continental Group, a major...
info_outlineRazib Khan's Unsupervised Learning
On this episode of Unsupervised Learning, Razib talks to , whose Substack examines genetic differences between populations. Piffer on human genetic variation for a decade, and recently started a Substack, , exploring similar issues in detail over a series of posts. Razib asks Piffer about the difficulties in analyzing polygenic scores from quantitative traits in ancient DNA samples. How does he do in technical terms, from genome quality to imputation to ancient populations from modern ones? Then, they discuss some of Piffer’s findings, in particular, his work...
info_outlineRazib Khan's Unsupervised Learning
Today Razib talks to , a scientist and technology leader based in Austin, Texas, whose career bridges the fields of biochemistry, systems biology, and software engineering. He earned his doctorate in Biochemistry and Cell Biology from the University of California, and has held academic positions at Harvard Medical School, where he contributed to the Department of Systems Biology and developed the "Little b" programming language. Mallavarapu has transitioned from academic research into the tech and venture capital sectors, co-founding ventures such as Precise.ly and DeepDialog, and...
info_outlineRazib Khan's Unsupervised Learning
On this episode Razib, talks to , a . Hanania holds a Ph.D. from UCLA, a J.D. from the University of Chicago, and an undergraduate degree from CU Boulder in linguistics. He is a regular contributor to the and , and has . Hanania is also the author of . Razib and Hanania talk about his new book , and his developing views on populism and immigration. They highlight the rise of populism on the Right, the rejection of cognitive elitism, and the impact of social media on political discourse. Hanania criticizes the far-right’s nativism,...
info_outlineRazib Khan's Unsupervised Learning
On this episode, Razib talks to ,, a historian who teaches at Oxford. Young specialises in the history of religion and belief from ancient times to the present day, and provides expert indexes for academic books and translates medieval and early modern Latin. He holds a PhD from Cambridge University and is the author, editor or co-author of . On his last visit to the , he discussed his book , an account of the practices and persistence of Baltic paganism down to the 16th-century, the age of the Renaissance and Reformation. Today he discusses his new book, . Razib and...
info_outlineToday, Razib talks to Chris Masterjohn, a nutritional scientist and leading expert in mitochondrial biology who believes hidden energy bottlenecks underlie much of modern disease. After years of work as a professor and researcher, he founded Mitome, the first mitochondrial analysis designed for everyday health, and serves as its Scientific Director. His mission is to make mitochondrial testing accessible so people can identify and correct the specific energy limitations holding them back. After earning his PhD in Nutritional Sciences from the University of Connecticut in 2012, he completed a postdoctoral research fellowship at the University of Illinois at Urbana-Champaign and subsequently served as an Assistant Professor of Health and Nutrition Sciences at Brooklyn College. He has a Substack.
Razib and Masterjohn first discuss the impact of social media on the communication of science, and his wrangling with the public health establishment during the COVID-19 pandemic. Masterjohn explains how digging into the primary literature showed that the authorities were claiming far greater certainty than they should have, and recounts attempts to censor and rebuke him when he pointed this out. He also addresses some misrepresentations that Anthony Fauci engaged in during his tenure. Next, Razib asks Masterjohn about the insights he has gained from nutritional science in terms of how he lives his own life, and his overall philosophy of public health. Masterjohn pushes against the tendency to over-medicalize and rely on pharmaceuticals before looking to common-sense nutrition and exercise. They then discuss the importance of the mitochondrion in molecular genetics, and how that is relevant both in terms of physiology and evolution. Masterjohn then talks about his company, Mitome, and the added value of greater and greater metabolic and genetic information in the present age.