Seminars

Gašper Tkačik explores whether the language of information in biology can become a predictive scientific theory. The lecture connects information transfer from DNA to proteins, positional signals that guide cell fate during development, neural information processing, and the storage and inheritance of information in evolving genomes. It brings physics, information theory and quantitative biology together to examine these processes across biological scales. Tkačik is Professor at the Institute of Science and Technology Austria. Shinya Kuroda provides commentary; Arisa Ema moderates. Online via Zoom Webinar. Wednesday 14 October 2026, 14:00–15:00 JST (Asia/Tokyo; UTC+9). Public advance registration is required through the organizer’s event page. The lecture is in English with Japanese interpretation. Organized by Tokyo College, The University of Tokyo Institutes for Advanced Study.

Ilaria Ferlenghi discusses a career spanning structural biology, cryo-electron microscopy, vaccine research and development, and the growing role of artificial intelligence and machine learning in scientific innovation and entrepreneurship.

Real-time measurement of local biomolecule concentrations in living tissue requires sensors that are stable, selective and minimally invasive. This seminar examines single-walled carbon nanotubes, whose durable near-infrared fluorescence and sensitivity to their surroundings support optical biosensing. Biopolymer functionalization gives the nanotubes biological compatibility and selectivity for particular molecular targets. Spectroscopy, microscopy and machine-learning-assisted analysis are used to characterize sensor interactions and extract biological information, with applications spanning live-cell imaging, wearable sensing and continuous monitoring.

This seminar investigates Anderson localization in subwavelength elastic periodic systems with random perturbations. For the unperturbed structure, layer-potential methods recast the eigenvalue problem as boundary integral equations, yielding asymptotic expressions for subwavelength eigenvalues and establishing a band gap above the subwavelength band. A Floquet transform then brings the perturbed problem into a periodic formulation and produces equations for resonant frequencies under general perturbations. Numerical experiments on monomer and dimer structures test agreement with the analysis. Increasing the strength and number of random perturbations demonstrates localization, providing a mathematical basis for elastic metamaterial design.

Clarice D. Aiello examines evidence that quantum effects influence biological function, including magnetic sensing used in animal navigation, cellular metabolism and enzyme activity, and the capture of light energy in photosynthesis. The talk reviews proposed biophysical mechanisms and their implications for human, plant and environmental biology, while considering the difficulty of connecting observations from nanometre scales to whole organisms. A central question is whether quantum mechanics can be established or ruled out as the explanation for physiologically relevant effects, and whether those effects can be controlled for useful applications. Potential directions include biomimetic electromagnetic probes, quantum-computing architectures that operate at room temperature, improved solar-energy devices and new therapies. Progress will require work across disciplines and scales, with theory and experiment developed together.

Paul S. Weiss (UCLA) explores low-energy interactions and balanced cycling in natural systems as models for efficient synthetic devices and recycling. Because the relevant energies fall below visible-photon energies, tunnelling spectroscopy and imaging are used to probe these processes. Replicating biochemical cycling and low-energy transport could reduce the energy needed for devices and materials recovery. The work seeks missing physical principles, including spin conservation in chiral molecules and polarizability in biological and synthetic systems. This perspective has led to thermal-control advances in scale, speed and magnitude. Atomic-resolution imaging, spectroscopy and functional measurements help build precise structures while revealing heterogeneous nanoscale behaviour. The talk relates these advances to the physical, electronic, mechanical, thermal and chemical connections between materials and their surroundings that determine future nanomaterial measurements and devices.

How do humans stabilize an inverted pendulum, and why does a balanced pole eventually fall? Drawing on 25 years of fingertip pole-balancing research, this talk examines neural correction delays: longer poles move more slowly relative to the nervous system’s response time. Delay-differential models can stabilize the upright position, yet skilled people still experience falls. The proposed explanation is microchaos arising from interactions among delay, sensory dead zones and frequency-dependent force encoding. A region of transient falling solutions lies next to stable microchaotic dynamics. Such microchaos is absent in virtual frontal-plane balancing tasks, while models of standing postural sway lack the corresponding transient regime. The comparison suggests that human falls, unlike pole falls, are more plausibly associated with medical events or slips and trips.

To orchestrate complex behaviors in mammals, the cerebral cortex must continuously transmit its processing results to subcortical regions. While internal cortical processing relies on highly selective sparse codes, these descending cortical output streams employ an enigmatic dense code, characterized by high firing rates and low feature selectivity. This dense population code presents a profound paradox: how can downstream regions extract precise, cognitively relevant signals when most cortical output neurons can be active at any moment? We address this paradox by testing the hypothesis that cortex does not lose information when switching to a dense code. Instead, it utilizes a mechanism for sparse-to-dense coding transformations discovered by my laboratory: thalamocortical synapses target specifically the dendritic initiation zone for calcium action potentials (APs), which enables cortical output neurons to transmit multiple information streams simultaneously via a multiplexed 1-2-3 AP syntax. I will provide first evidence that this remarkable synaptic specificity and coding syntax generalize across long-range pathways. Information coupling via an anatomically and biophysically distinct dendritic nexus may hence be a ubiquitous mechanism for sparse-to-dense coding transformations in cortex. Dissecting these mechanistic origins of cortical output streams is only now possible due to a unique in vivo – in silico approach, perfected over two decades, that my laboratory developed for bridging the gaps between dendritic and population-level computations

Richard Huang investigates how DNA nanostructures deform under uneven hydrodynamic forces, a question relevant to drug delivery, vaccines and biosensors. Coarse-grained molecular dynamics and mechanical models first examine linear and circular DNA in extensional flow. Drag concentrates tension near the middle of linear duplexes, disrupting base pairs and causing overstretching. Deforming minicircles straighten along their sides while concentrating bending into opposing tips and localized kinks. Models based on DNA elasticity and hydrodynamic-force distributions explain these responses, then extend to wireframe DNA origami to study force transmission and how local structural transitions produce whole-particle deformation. The results inform structures designed for stability or controlled deformation in flow. Online via Zoom. Friday 2 October 2026, 12:00–13:00 EDT (America/New_York; UTC−4). Open the Zoom link on the official event page; the audience explicitly includes the public. Richard Huang is affiliated with MIT. Organized by MIT Department of Mathematics — Computational Research in Boston and Beyond Seminar.

Marcos Petrúcio Cavalcante connects geometric stability to physical examples involving soap films, bubbles and vibrating membranes. He first describes his route through differential geometry and the development of a research group and graduate programme in Maceió, Brazil. The scientific discussion concerns shapes that are critical points of a functional. Its second variation defines stability, while the Morse index counts independent directions of improvement. Through examples and pictures, the talk explains why stable configurations tend to have simple geometry and topology. Two results make this principle precise: a genus-dependent lower bound on the Morse index of compact constant-mean-curvature surfaces in Euclidean space, and a rigidity theorem for stable extremal domains of the first Dirichlet eigenvalue on the round sphere.

Cryopreservation constrains manufacturing and clinical delivery of immune cells such as NK and T cells. DMSO protects against freezing but becomes toxic at physiological temperatures; associated infusion morbidity can require washing or divided dosing that diminishes therapeutic effectiveness. This talk presents an alternative in which reversible, cytocompatible hydrogels encapsulate cells before freezing without DMSO. The speaker examines evidence that encapsulation cushions osmotic stress, suppresses kinetic and phase transitions, and reduces injury caused by extracellular ice growth and fusion. The discussion covers recovery efficiency, function after thawing, control of biological stress responses, and the challenges of extending the approach to clinical-scale cell preservation.

Ivo D. Dinov examines augmented intelligence as a partnership between people and computational systems. The talk traces the technical and philosophical development of neural networks, then introduces complex-time, or kime, representations and the inference methods they support. Applications include medical imaging, healthcare and economic forecasting. It also considers the academic mission, societal consequences of AI and tensions between rapid technical development and human values, framing mathematical AI methods as extensions of human reasoning. Free hybrid seminar hosted by Wayne State University's Institute for AI and Data Science, AIDaS: CAD Seminar Series. Wednesday 30 September 2026, 14:30–15:30 EDT (America/Detroit; UTC−4). Attend in Room 1146, Faculty/Administration Building, 656 W. Kirby, Detroit, MI 48202, USA, or use the Zoom link on the official event page. Researchers, practitioners, students and faculty are welcome; the organizer encourages in-person attendance.

Mark Harnett presents work on how synaptic organization, nonlinear dendritic processing, and neuronal activity patterns interact to support computation, flexibility, and learning in the adult mammalian neocortex. The Brain and Cognitive Sciences colloquium is followed by a reception.

Two-lecture series by Mohammed Abouzaid (Stanford): 'Framed bordism and nearby Lagrangians' (September 16) and 'Complex bordism and Hamiltonian fibrations' (September 17), on bordism-theoretic approaches to Lagrangian embeddings in symplectic manifolds and Arnold's nearby Lagrangian conjecture.

Kirk Public Lecture at the Isaac Newton Institute by Yoshiko Ogata (Kyoto University) on how macroscopic properties of matter emerge from quantum particle interactions and the classification of topological order from an operator-algebraic perspective in mathematical physics.

Robert E. Gompf (University of Texas, Austin) lectures on 'On classifying smoothings of R^4 - from the beginning to the present', tracing how 4-manifold topology emerged from the breakthroughs of Freedman and Donaldson and how Euclidean 4-space admits exotic smoothings that resist classification by countable numerical invariants.

Isaac Newton Institute seminar in the 'Mathematics of many-body entanglement' (MMB) programme: Ignacio Cirac of the Max-Planck-Institut für Quantenoptik speaks on the preparation of tensor network states.

Klemens Rottner (Helmholtz Centre for Infection Research, Braunschweig) presents evidence that profilin acts as a master regulator of actin filament dynamics essential for cell migration and growth, controlling both formin- and Arp2/3 complex-dependent actin assembly pathways.

Yousef Saad examines relaxed gradient descent for large-scale optimization. Relaxing the optimal step length in Cauchy's steepest descent avoids its characteristic zigzag behavior and can bring the search direction close to an eigenvector of the Hessian. Once that alignment is sufficiently accurate, properties of the Lanczos method can accelerate convergence. The talk analyzes several such strategies and illustrates them in global minimization of strictly convex functions, retaining the simplicity and low memory requirements that make gradient methods attractive for machine learning.

Daniel Szyld extends randomized point and block Gauss-Seidel and Gauss-Southwell convergence results from Hermitian positive-definite matrices to certain non-Hermitian classes, including overlapping variables in domain decomposition. The analysis treats a range of sampling probabilities and greedy selection strategies and identifies choices that optimize the bounds. The best expected convergence bounds for randomized methods match those of more expensive deterministic Gauss-Southwell algorithms. These results establish a convergence rate for asynchronous iterations. Joint work with Andreas Frommer.