Ponencias
Tecnología, Ciencia y Cultura: una visión global
Dr. Horacio Bach, Ph.D.
Ponente
University of British Columbia
"A NEW ERA WITHOUT ANTIBIOTICS"
Horacio Bach earned his PhD in Molecular Microbiology and Biotechnology from the University of Tel Aviv in 2001, studying the interactions between esterases and the polysaccharide emulsan. Subsequently, in his first post-doctorate, he joined the laboratory of Prof. David Sherman in Minnesota working on the development of a biochip for generation of novel antibiotic molecules and the roles of P450 proteins from Streptomyces coelicolor. Dr. Bach worked for Taro Pharmaceuticals in Tel Aviv and New York developing novel fermentation technologies and engineering organisms for the production of steroids. In 2004, Dr. Bach joined the laboratory of Prof. Yossef Av-Gay at the Division of Infectious Diseases, Department of Medicine, University of British Columbia in Vancouver, Canada. He worked on the function of tyrosine phosphatases of Mycobacterium tuberculosis and the interactions within the host macrophages. Currently, Dr. Bach holds an Adjunct Professor position at the same institution. His current research interests include: signal transduction, mechanism elucidation of virulence factors of pathogenic bacteria, the link between Mycobacterium paratuberculosis and inflammatory bowel diseases, the design of novel antibodies for therapeutics and diagnostic tests using antibody engineering, and applications of nanotechnology in Medicine. Prof. Bach is the author of over 70 publications, including papers, patents, and book chapters.
http://id.med.ubc.ca/person/horacio-bach/
- Adjunct Professor
- Manager of IIRC Proteomic and Antibody Engineering Facility
- University of British Columbia
- Division of Infectious Diseases
- Jack Bell Research Centre
- 410- 2660 Oak Street
- Vancouver BC V6H 3Z6, Canada
- Phone: 604 8754111x.62107
- Fax: 604 8754013
Dr. Andreas Linninger
Ponente
University of Illinois
"MATHEMATICAL MODELING: TRANSLATING BETWEEN MINDS AND MACHINES AND HOW TO TEACH IT"
Modern scientific theories quantify natural phenomena through mathematical relations. Thus, mathematical models encapsulate the body of quantifiable scientific knowledge about nature. Even through our human brain has the innate ability for logical reasoning, it does not naturally process mathematical abstractions: math literacy is an acquired skill. Mathematics, despite its logical principles, must be comprehended as an acquired language, rather than as a natural vehicle of logical thought. Formulation, comprehension and interpretation of quantitative math knowledge demands linguistic eloquence for executing translations between our minds and mathematical abstractions. In this talk, I will argue that the proposition of “math is a language” has beneficial implications on the way we conduct scientific inquiry and math education.
Despite its prevalence in science, mathematical modeling lacks a common definition. I posit that model-based discovery and learning is the act of “replacing a theory-less domain of facts by another for which a theory is known”. This view corrects the misconception that knowledge is merely the ability to solve equations. I will further provide evidence that the creative process of model formulation is much more taxing than the solution of mathematical artifacts using scientific computing methods. Data collected over 30 years of mathematical modeling research demonstrates that the expense for model formulation easily exceeds computational cost by 2 to 3 orders of magnitude. Accordingly, there is an unmet need for formal methods to synthesize consistent mathematical model formulations using ontologies or modeling paradigms. Applications (e.g., Preisig ontology, Tellegen Theorem, anatomical modeling) will be discussed as examples of ontologies for computer-assisted model generation in the domain of large-scale chemistry and biochemistry. Natural language processing such as a chemists’ dialect articulated in the BatchDesign-Kit software enable the synthesis of specialty chemical recipes in a virtual lab. The advantages for formally assisted mathematical model generation will be illustrated with examples in drug delivery to the brain and central nervous system.
Approaching mathematics as an acquired language also has profound yet largely ignored implications for engineering math education. Experience teaching engineering students reveals a shockingly short lived retention of math literacy skills in our student population. The wide-spread deployment of computing tools such as Matlab has not deepened student proficiency; on the contrary, the gap between theory and students’ active command seems to be widening. Adopting a course pedagogy of ‘math as a foreign language’ appears to reverse this negative trend. The talk will highlight course structure and long term learning outcomes resulting from 10 years of improvements under this new format taught in bioengineering at the undergraduate and graduate level.
I will close with an outlook on existing scientific frontiers currently impeding medical and neuroscience research that may be overcome by more math-eloquent scientists and engineers.
Dr. Theo Lynn
Ponente
Dublin City University
"TOWARDS THE INTERNET OF EVERYTHING: OBSERVATIONS ON MULTI-DISCIPLINARY CHALLENGES IN INTELLIGENT SYSTEMS RESEARCH"
For over fifty years, commentators have sought to envision a ‘wired’ society whose social structures and activities, to a greater or lesser extent, are organized around digital information networks that connect people, processes, things, and data. This phenomenon is increasingly called the Internet of Everything. Complexity is a significant concern with the Internet of Everything due to both the volume of heterogeneous entities and the nature of how such entities related to each other and the wider environment in which they operate. Without intelligence, the Internet of Everything may not reach its full potential, hampered by pre-defined rules ill-suited to a changing and dynamic physical world. More recently, intelligent systems have emerged that can perceive and respond to the physical and social world around them a greater degree of autonomy; these systems make things smart. However, such intelligent systems and smart things present both interesting and significant multi-level computational and societal research challenges, not least representing and making sense of a dynamic physical world. This presentation will introduce the Internet of Everything, present the building blocks of Intelligent Systems, and discuss some of the opportunities and challenges for multi-disciplinary research in this emerging area.
Dr. Miguel Rico-Ramirez
Ponente
University of Bristol
"ADVANCES IN THE MEASUREMENT AND FORECASTING OF PRECIPITATION WITH WEATHER RADAR FOR FLOOD RISK MANAGEMENT"
Precipitation is the main driver of the hydrological cycle and therefore the measurement and forecasting of precipitation is a key element in hydrological and meteorological applications such as rainfall-runoff modelling, precipitation forecasting, flood forecasting, flood risk management, and hydrological and climate studies. Flooding is one of the most vulnerable natural hazards in the world. It has vast impacts, including loss of life, damage to property and goods, and negative health, social and economic impacts. Reliable and accurate meteorological and hydrological forecasting is therefore a major priority to minimize such impacts. Significant progress has been to improve the forecasting of extreme rainfall events for flood prediction in large rural catchments. However, accurate, reliable and timely flood forecasting in urban areas is a challenging task that it is now crucial for the reduction of hazard and the preservation of life and property. The talk will discuss some of the latest advances in the measurement and forecasting of precipitation using weather radar technology, including applications for large rural catchments and small urban areas.
Biography
Dr Miguel Rico-Ramirez was born in Mexico and received both his BEng in Electronic Engineering (1998) and MEng in Electrical Engineering (2000) at the University of Guanajuato. He obtained his PhD degree in 2004 at the University of Bristol, where he also worked as postdoctoral research assistant in the Flood Risk Management Research Consortium (2004-2007). He became Lecturer in 2007 and he is currently a Senior Lecturer in Radar Hydrology and Hydroinformatics within the Department of Civil Engineering at the University of Bristol. His research focusses on the area of flood forecasting with weather radar and numerical weather prediction models for the real-time prediction and management of severe storms. His research interests also include Hydroinformatics, remote sensing of the hydrological cycle, real-time flood forecasting and management. He has published over 60 peer-reviewed scientific papers in international journals.
ORCID: https://orcid.org/0000-0002-8885-4582
ResearchGate: https://www.researchgate.net/profile/Miguel_Rico-Ramirez
Serafín Martínez Jaramillo
Ponente
Senior Financial Researcher at Banco de México
Dr. Enrique Cárdenas Sánchez
Ponente
Premio Nacional en Economía
Carlos Lozano
Conferencista
Fellow of the Conference of Consulting Actuaries
El Act. Carlos Lozano es originario de la Cd. de México Actuario por la Facultad de Ciencias de la Universidad Nacional Autónoma de México (UNAM). Maestría en Administración por la Facultad de Contaduría y administración (UNAM). Socio fundador y director general de la firma Nathal Actuarios y Consultores, firma mexicana multinacional, y es consultor internacional.
El Actuario Carlos Lozano es:
- Fellow of the Conference of Consulting Actuaries en los Estados Unidos de Norteamérica (FCA)
- Miembro Ad-hoc del Comité de Actuarios de la ONU (UNJSPB)
- Catedrático en la Facultad de Ciencias de la UNAM
- Miembro de la Asociación Mexicana de Actuarios Consultores, A.C.
- Conference of Consulting Actuaries (Estados Unidos)
- Presidente del Colegio Nacional de Actuarios, A.C. (2015-2017)
- Propietario de los derechos del libro “Matemáticas de Pensiones para Actuarios (traducción al español de la segunda edición del libro Pension Mathematics for Actuaries de Arthur W. Anderson)
Lic. Javier Torres Alcaraz
Conferencista
Executive Manager – Michael Page Personnel
Desarrolló Page Interim y Page Personnel en México.
Head Hunting más grande del norte de México.
Dr. Adolfo de Unánue Tiscareño
Conferencista
Chief Technology Officer - DATANK
Director de Maestría en Ciencias de Datos – ITAM.
Chief Data Scientist – OPI: OpenIntel.
Doctor en Ciencias en Física Teórica.
Dr. Daniel López Barrientos
Conferencista
Postdoctoral Fellow – Université de Montréal
Investigador de Ciencias Actuariales – Anáhuac.
Doctor en Ciencia Matemática – IPN.
Investigador Nacional - CONACyT.
Mtro. Ignacio Trujillo Mazorra
Conferencista
Presidente – Estigia Financial Strategists
Gerente de Estrategias de Inversión – Envestt.
Asesor Financiero en Divisas – Gryp FX.
Docente.
