BEGIN:VCALENDAR PRODID:-//SiteBuilder 2//University of Warwick ITS Web Team//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Predictive Modelling » Seminars X-WR-TIMEZONE:Europe/London X-LIC-LOCATION:Europe/London BEGIN:VTIMEZONE TZID:Europe/London LAST-MODIFIED:20201010T011803Z TZURL:http://tzurl.org/zoneinfo/Europe/London X-LIC-LOCATION:Europe/London X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+000115 TZOFFSETTO:+0000 DTSTART:18471201T000000 END:STANDARD BEGIN:DAYLIGHT TZNAME:BST TZOFFSETFROM:+0000 TZOFFSETTO:+0100 DTSTART:19160521T020000 RDATE:19170408T020000 RDATE:19180324T020000 RDATE:19190330T020000 RDATE:19200328T020000 RDATE:19210403T020000 RDATE:19220326T020000 RDATE:19230422T020000 RDATE:19240413T020000 RDATE:19270410T020000 RDATE:19300413T020000 RDATE:19330409T020000 RDATE:19340422T020000 RDATE:19350414T020000 RDATE:19380410T020000 RDATE:19390416T020000 RDATE:19400225T020000 RDATE:19460414T020000 RDATE:19470316T020000 RDATE:19480314T020000 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END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0000 TZOFFSETTO:+0000 DTSTART:19960101T000000 END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 DTSTART:19961027T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261012T130000 DTEND;VALUE=DATE-TIME:20261012T140000 SUMMARY:WCPM\, Elizaveta Suturina\, Bath TZID:Europe/London UID:20261012-8ac672c4a0c1ee7a01a0c37ab94604e2@warwick.ac.uk CREATED:20260921T101955Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004 \, from 12:30pm - 1pm. Title: TBC Abstract: TBC Bio: Dr Elizaveta Suturina is a Senior Lecturer in the Department of Chemistry at the University of Bat h and a member of the Institute of Sustainability and Climate Change. He r research combines quantum chemistry and spin dynamics theory to unders tand the magnetic and optical properties of metal complexes\, with a par ticular focus on paramagnetic molecules. She works on a range of interdi sciplinary projects\, including the development of next-generation MRI c ontrast agents\, theoretical methods for paramagnetic NMR in structural biology\, and the design and modelling of molecular magnets. Her researc h aims to uncover how the structure of metal complexes influences their magnetic behaviour\, helping to advance applications in imaging\, biomol ecular characterisation\, and functional magnetic materials. Research in terests: molecular magnetism\, lanthanide chemistry\, magnetic anisotrop y\, EPR and NMR spectroscopy\, quantum chemistry\, spin dynamics\, and M RI contrast agents. LOCATION:IMC 004 URL: ATTACH: CATEGORIES:WCPM LAST-MODIFIED:20260921T101955Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261109T130000 DTEND;VALUE=DATE-TIME:20261109T140000 SUMMARY:WCPM\, Halim Kusumaatmaja\, Edinburgh TZID:Europe/London UID:20261109-8ac672c4a0c1ee7a01a0c3c69a4d0ce3@warwick.ac.uk CREATED:20260925T133540Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, WMG: 12:30pm - 1pm Title: Title: Complex Droplet Dynamics on Nature-Inspired Liquid Repellent Surfaces Abstract: Wetting of surfaces by liquids is co mmonly observed in everyday life and is of paramount importance for many natural and engineering processes. In many cases\, it is beneficial to design surfaces that repel liquids: these surfaces can suppress icing an d surface fouling\, they reduce drag and friction\, and contaminants can be removed easily. Interestingly\, nature provides several conceptually distinct inspirations to design liquid repellent surfaces. Many natural surfaces such as lotus leaves and duck feathers are rough. The roughnes s amplifies the surface hydrophobicity leading to superhydrophobic prope rties with very large contact angles. In contrast\, on pitcher plants\, a layer of liquid imbibes the surface corrugations\, providing a smooth liquid surface that substantially reduces friction. In this talk\, I wil l discuss recent works by my group and our collaborators to understand c omplex droplet dynamics on structured\, nature-inspired liquid repellent surfaces. In particular\, I will focus on three phenomena. First\, I wi ll elucidate salient mechanisms of how particles can be captured and rem oved by liquid droplets\, which is key for designing self-cleaning surfa ces. Second\, I will discuss how droplet icing can be suppressed on supe rhydrophobic surfaces. Third\, I will discuss the possibility to develop patterned liquid surfaces and the distinctive features of droplet dynam ics on such surfaces\, including how they give rise to new wetting state s and contact line pinning mechanisms. Bio: Professor Halim Kusumaatmaja is the Jason Reese Chair of Multiscale Fluid Mechanics at the Universit y of Edinburgh and leads the Simulations of Soft Matter\, Biophysics & F luid Dynamics research group. His research lies at the interface of phys ics\, engineering\, applied mathematics\, chemistry\, and biology\, usin g theory and advanced computational simulations to understand complex fl uid and soft matter systems. Professor Kusumaatmaja's work spans multisc ale fluid mechanics\, soft matter physics\, and biophysics\, with partic ular interests in wetting phenomena\, liquid-repellent surfaces\, membra ne biophysics\, liquid-liquid phase separation\, microfluidics\, and com putational fluid dynamics. His group develops and applies simulation tec hniques\, including lattice Boltzmann methods\, to investigate the behav iour of complex materials and biological systems. Before joining the Uni versity of Edinburgh\, he held academic positions at Durham University a nd completed postdoctoral research at the Max Planck Institute of Colloi ds and Interfaces and the University of Cambridge. He obtained his PhD i n Theoretical Physics from the University of Oxford and is widely recogn ised for his contributions to computational fluid mechanics and soft mat ter science. Research interests: multiscale fluid mechanics\, soft matte r physics\, biophysics\, wetting and wettability\, liquid-repellent surf aces\, microfluidics\, biomolecular condensates\, membrane biophysics\, and lattice Boltzmann simulations. LOCATION: CATEGORIES:WCPM LAST-MODIFIED:20260925T133540Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261123T130000 DTEND;VALUE=DATE-TIME:20261123T130100 SUMMARY:WCPM: Anna Regoutz\, Oxford TZID:Europe/London UID:20261123-8ac672c4a0c1ee7a01a0c3d0549c0cee@warwick.ac.uk CREATED:20260921T115325Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, from 12:30pm - 1pm. Title: TBC Abstract: TBC Bio: Professor Anna Regoutz is a n Associate Professor of Experimental Inorganic Chemistry at the Univers ity of Oxford and leads the Applied X-ray Spectroscopy research group. H er research focuses on understanding how the atomic structure and electr onic structure of inorganic materials determine their physical and chemi cal properties\, with the aim of developing materials for next-generatio n electronic and opto-electronic technologies. Professor Regoutz leads a n interdisciplinary research programme that combines thin-film synthesis \, surface and interface chemistry\, and advanced X-ray spectroscopy tec hniques. A particular focus of her work is the development and applicati on of Hard X-ray Photoelectron Spectroscopy (HAXPES) to investigate the chemical and electronic structure of complex materials\, including burie d interfaces in electronic devices. Her group also studies oxide thin fi lms\, wide-bandgap semiconductors for power electronics\, and inorganic nanomaterials for biosensing applications. LOCATION: URL: ATTACH: CATEGORIES:WCPM LAST-MODIFIED:20260921T115325Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261207T130000 DTEND;VALUE=DATE-TIME:20261207T140000 SUMMARY:WCPM\, Thomas Speck\, Stuttgart TZID:Europe/London UID:20261207-8ac672c4a0c1ee7a01a0c3d2f9880cf4@warwick.ac.uk CREATED:20260925T130415Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, from 12:30pm - 1pm. Title: Synchronization in chiral active fluids and coexis tence of topologically distinct phases Active matter has become a centra l paradigm in non-equilibrium statistical physics\, encompassing a range of systems from biology to engineering that are driven through local di ssipation and exhibit directed motion. These systems show a wide range o f collective phenomena such as swarms and motility-induced phase separat ion. I will introduce a class of idealized "dry" models in which self-pr opelled particles undergo persistent rotation. Single particles perform a circle walk along a closed orbit perturbed by noise. I will then discu ss numerical and analytical results for two types of schematic orientati onal interactions in ensembles of many particles: alignment leading to s ynchronization and spontaneous traveling bands\, and chirality switching leading to the spatial coexistence of topologically distinct phases. Bi o: Professor Thomas Speck is Professor of Theoretical Physics and Head o f the Institute for Theoretical Physics IV at the University of Stuttgar t. His research explores the fundamental principles governing complex sy stems far from equilibrium\, focusing on how collective behaviour and se lf-organisation emerge in soft and active matter. At Stuttgart\, he lead s a research programme that combines analytical theory\, statistical phy sics\, and computational modelling to understand phenomena ranging from molecular-scale processes to interacting colloidal systems. Professor Sp eck is internationally recognised for his contributions to statistical m echanics\, stochastic thermodynamics\, and active matter physics. His wo rk has helped shape the theoretical understanding of self-propelled part icles\, non-equilibrium phase transitions\, and the thermodynamics of dr iven systems. He has authored highly cited research on active Brownian p articles\, collective motion\, and fluctuation phenomena in soft matter\ , with over 10\,000 citations to his work. LOCATION:IMC 004 CATEGORIES:WCPM LAST-MODIFIED:20260925T130415Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261026T130000 DTEND;VALUE=DATE-TIME:20261026T140000 SUMMARY:WCPM\, Adrien Corenflos\, Warwick TZID:Europe/London UID:20261026-8ac672c6a0c1ee6201a0c3c1d79554e0@warwick.ac.uk CREATED:20260921T113735Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, WMG T itle: TBC Abstract: TBC Bio: Dr Adrien Corenflos is an Assistant Profess or (Lecturer) in the Department of Statistics at the University of Warwi ck. His research focuses on computational statistics\, Bayesian inferenc e\, state-space models\, optimal transport\, and large-scale sampling al gorithms. Before joining Warwick as a lecturer in 2025\, he completed hi s PhD at Aalto University in Finland\, where his thesis was awarded the university's Best Thesis Award. He subsequently worked as a postdoctoral researcher at Warwick as part of the OCEAN project. Prior to his academ ic career\, he spent several years as a quantitative researcher in the f inancial sector\, working on statistical modelling and computational met hods. He currently co-organises Warwick's Algorithms and Computationally Intensive Inference Seminar Series. Research interests: Bayesian infere nce\, Monte Carlo methods\, state-space models\, optimal transport\, com putational statistics\, parallel algorithms\, and machine learning. LOCATION: URL: ATTACH: CATEGORIES:WCPM LAST-MODIFIED:20260921T113735Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261116T130000 DTEND;VALUE=DATE-TIME:20261116T140000 SUMMARY:WCPM\, Anastasia Mantziou\, Warwick TZID:Europe/London UID:20261116-8ac672c6a0c1ee6201a0c3ccc64654e6@warwick.ac.uk CREATED:20260921T114932Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, from 12:30pm - 1pm. Title: TBC Abstract: TBC Bio: Dr Anastasia Mantziou is a Harrison Assistant Professor in the Department of Statistics at the Univ ersity of Warwick. Her research focuses on the statistical analysis of c omplex networks\, developing Bayesian methods to better understand how n etworked systems evolve and interact. She completed her PhD in Statistic s at Lancaster University\, where she worked on Bayesian modelling for m ultiple network data\, before undertaking research positions at Imperial College London and the Alan Turing Institute. Dr Mantziou's work spans Bayesian network modelling\, network populations\, clustering methods\, and network time-series analysis. She has applied these techniques acros s a diverse range of fields\, including neuroscience\, ecology\, economi cs\, cyber-security\, and human tracking systems. More recently\, her re search has explored economic networks and transaction data\, as well as Bayesian topic modelling for cyber-security applications. Research inter ests: statistical network analysis\, Bayesian statistics\, network popul ations\, network clustering\, dynamic and temporal networks\, economic n etworks\, cyber-security\, and applied data science. LOCATION: URL: ATTACH: CATEGORIES:WCPM LAST-MODIFIED:20260921T114932Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261019T130000 DTEND;VALUE=DATE-TIME:20261019T140000 SUMMARY:WCPM. Michele Caprio\, Warwick TZID:Europe/London UID:20261019-8ac672c7a0a4cb7201a0c3be4e0103fe@warwick.ac.uk CREATED:20260921T132807Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, WMG T itle: Imprecise Probabilistic Machine Learning: Being Precise About Impr ecision Abstract: This talk is divided into two parts. I will first intr oduce the field of “Imprecise Probabilistic Machine Learning” (IPML)\, f rom its inception to modern-day research and open problems\, including m otivations and clarifying examples. In the second part\, I will present some recent results that I've derived at the interface of conformal pred iction and IPML. An open question in IPML is how to empirically derive a credal region (i.e.\, a closed and convex family of probabilities on th e output space) from the available data\, without any prior knowledge or assumption. In classification problems\, credal regions are a tool that is able to provide provable guarantees under realistic assumptions by c haracterizing the uncertainty about the distribution of the labels. I wi ll show that credal regions can be directly constructed using conformal methods\; This allows to provide a novel extension of classical conforma l prediction to problems with ambiguous ground truth\, that is\, when th e exact labels for given inputs are not exactly known. The second part i s based on the following paper https://openreview.net/forum?id=L7sQ8CW2F Y Bio: Dr Michele Caprio is an Assistant Professor in the Department of Computer Science at the University of Warwick and leads WarwIP\, Warwick 's Imprecise Probability research group. His research focuses on uncerta inty quantification\, imprecise probabilities\, and machine learning\, d eveloping mathematical and computational methods for reasoning and decis ion-making under uncertainty. Through WarwIP\, he works on advancing the theoretical foundations and practical applications of imprecise probabi lity\, with interests spanning statistics\, artificial intelligence\, an d data-driven modelling. His group's work aims to build more robust and reliable methods for analysing complex systems when information is incom plete or uncertain. Research interests: imprecise probability\, uncertai nty quantification\, machine learning\, statistical inference\, probabil istic modelling\, and reliable LOCATION:IMC 004 CATEGORIES:WCPM LAST-MODIFIED:20260921T132807Z ORGANIZER;CN=Jin Kang: END:VEVENT BEGIN:VEVENT DTSTAMP:20261007T022328Z DTSTART;VALUE=DATE-TIME:20261102T130000 DTEND;VALUE=DATE-TIME:20261102T140000 SUMMARY:WCPM\, Marianna Patrick\, Warwick TZID:Europe/London UID:20261102-8ac672c7a0a4cb7201a0c3c450370418@warwick.ac.uk CREATED:20260921T133854Z DESCRIPTION:Networking Lunch: The Pit Stop\, room next to IMC 004\, WMG T itle: Working with GenAI: Practices\, motivations\, and ethics Abstract: TBC Bio: Dr Marianna Patrick is a Research Fellow in the School of Educ ation\, Learning and Communication Sciences at the University of Warwick . A sociolinguist with a strong interdisciplinary focus\, her research e xplores how language shapes identity\, belonging\, and social interactio n across diverse contexts. Her current work investigates the adoption of generative AI in higher education\, examining how students and academic s navigate questions of ethics\, authorship\, collaboration\, and profes sional identity. Funded by the Leverhulme Trust\, this research is condu cted in collaboration with the University of Warwick\, the University of Edinburgh\, and Sophia University in Tokyo. In addition to her work on AI and higher education\, Marianna's research spans inclusion in sport\, intercultural communication\, migration\, and discourse analysis. She h as published on topics including leadership in sport\, gender and intern ational mobility\, research ethics\, and philanthropy\, and is actively involved in teaching and interdisciplinary research initiatives across W arwick. LOCATION:IMC 004 CATEGORIES:WCPM LAST-MODIFIED:20260921T133854Z ORGANIZER;CN=Jin Kang: END:VEVENT END:VCALENDAR