

Scientific Sense ®
Gill Eapen
Scientific Sense ® is an invigorating podcast that delves into the intricate tapestry of Science and Economics, serving as a nexus for intellectual exploration and fervor. This daily venture engages listeners by conversing with preeminent academics, unraveling their research, and unveiling emerging concepts across a diverse array of fields. Scientific Sense ® thoughtfully examines multifaceted themes such as the frameworks of worker rights and policy, the philosophical underpinnings of truth and its pursuit within academia, and constitutional discourse within divided societies.
Episodes
Mentioned books

Feb 22, 2021 • 49min
Prof. Anne C Hart, Professor of Neuroscience at Brown University.
Genetic modifiers ameliorate endocytic and neuromuscular defects in a model of Spinal Muscular Atrophy, and Single copy/knock-in models of ALS SOD1 in C. elegans suggest loss and gain of function have different contributions to neurodegeneration
Prof. Anne C Hart is Professor of Neuroscience at Brown University. Her research focuses on the molecular and cellular mechanisms underlying neurological disease, sensory signaling, sleep, and fatigue.

Feb 19, 2021 • 1h 20min
Prof. Ellen Armour, Carpenter Chair of Feminist Theology at Vanderbilt Divinity School
Philosophy, Photography, and the (Cosmo)Politics of Life and Death, and Religion, Sexuality, and Post modernity
Prof. Ellen Armour is the Chair of Feminist Theology at Vanderbilt Divinity School and directs the Carpenter Program in Religion, Gender and Sexuality. Her research interests are in feminist theology, theories of sex, race, gender, disability and embodiment, and visual culture as well as contemporary continental philosophy.

Feb 17, 2021 • 59min
Prof. Emery Brown, Professor of Anesthesia at Harvard Medical School and Computational Neuroscience at MIT
General Anesthesia and Altered States of Arousal: A Systems Neuroscience Analysis, Clinical Electroencephalography for Anesthesiologists, and Multimodal General Anesthesia: Theory and Practice.
Prof. Emery Brown is Professor of Anesthesia at Harvard Medical School and Professor of Medical Engineering and computational neuroscience at Massachusetts Institute of Technology. His lab develops statistical methods and signal-processing algorithms for neuroscience data analysis.

Feb 15, 2021 • 40min
Prof. Jason Haffner, Prof of Physics and Astronomy at Rice University.
A Tunable Plasmon Resonance in Gold Nanobelts, Novel Plasmonic Structures Based on Gold Nanobelts, and Structural Analysis by Enhanced Raman Scattering
Prof. Jason Haffner is Professor of Physics and Astronomy at Rice University. His lab at Rice studies nanophotonics and interfacial biology.

Feb 12, 2021 • 1h 8min
Prof. Ghassan AlRegib, Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology.
Backpropagated Gradient Representations for Anomaly Detection, Implicit Saliency in Deep Neural Networks, Contrastive Explanations in Neural Networks, Fabric Surface Characterization: Assessment of Deep Learning-Based Texture Representations Using a Challenging Dataset, Successful Leveraging of Image Processing and Machine Learning in Seismic Structural Interpretation, and Relative Afferent Pupillary Defect Screening Through Transfer Learning.
Prof. Ghassan AlRegib is Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Omni Lab for Intelligent Visual Engineering and Science and the center for Energy and Geo Processing at Georgia Tech.

Feb 11, 2021 • 44min
Prof. Jacquelyn Pless, Assistant Professor at the MIT Sloan School of Management.
Are “Complementary Policies” Substitutes? Evidence from R&D Subsidies in the UK, and Bringing rigor to energy innovation policy evaluation.
Prof. Jacquelyn Pless is Assistant Professor at the MIT Sloan School of Management. Her research interests are in the economics of innovation, energy and environmental economics.

Feb 10, 2021 • 42min
Prof. Wael Asaad, Associate Professor of Neuroscience and NeuroSurgery at Brown University
Deep Brain Stimulation Targeting the Fornix for Mild Alzheimer Dementia, Rapid motor fluctuations reveal short-timescale neurophysiological biomarkers of Parkinson’s disease, and LITT for Intractable Psychiatric Disease
Prof. Wael Asaad is Associate Professor of Neuroscience and NeuroSurgery at Brown University. He is also the Director of Functional Neurosurgery and Epilepsy program.

Feb 9, 2021 • 1h 14min
Prof. Benjamin Moll, Professor of Economics at the London School of Economics
The Rich Interactions between Inequality and the Macroeconomy
Prof. Benjamin Moll is a Professor of Economics at the London School of Economics. His research is concerned with understanding why some countries and people are so much poorer than others and how micro heterogeneity impacts the macro economy and macroeconomic policy.

Feb 8, 2021 • 1h 11min
Prof. Andrew Newberg, Professor of Integrative Medicine and Nutritional Sciences at Thomas Jefferson University.
Religious Experience: Psychology and Neurology, The Noetic Quality: A Multimethod Exploratory Study, and The Varieties of Self-Transcendent Experience
Prof. Andrew Newberg is Professor of Integrative Medicine and Nutritional Sciences at Thomas Jefferson University. He has been involved in a number of neuroimaging research projects which have included the study of aging and dementia, epilepsy, and other neurological and psychiatric disorders.

Feb 5, 2021 • 54min
Prof. Murat Kantarcioglu, Professor of Computer Science at The University of Texas at Dallas
Securing Big Data in the Age of AI, Defending Against Backdoors in Federated Learning with Robust Learning Rate, and Does Explainable Artificial Intelligence Improve Human Decision-Making?
Prof. Murat Kantarcioglu is Professor of Computer Science and Director of the Data Security and Privacy Lab at The University of Texas at Dallas (UTD). Prof. Kantarcioglu's research focuses on the integration of cyber security, machine learning, data science and blockchains for creating technologies that can efficiently and securely store, analyze and share data and machine learning results.


