Deep Dive into High Dimensional Data Science with Andrew Stuart The times and location for the tutorials/seminar given by Andrew Stuart (Caltech) are as follows: Timetable December 12th:  9:30-10:30, Bayes 5.10 Tutorial Lecture Gaussian Processes: Interpolation, Regression and PDEs December 13th: 16:00,  Bayes G.03 Seminar Data Science Algorithms In High Dimensions Organisers: Benedict Leimkuhler and

We are pleased to invite members of staff and PhD students to attend a tutorial and seminar given by Prof. John Chodera as part of his visit to Edinburgh, on the topic of “Computational Biophysical Modelling”. Professor Chodera runs the John Chodera Lab [https://www.choderalab.org/], part of the Memorial Sloan Kettering Cancer Center based in New

We are pleased to invite members of staff and PhD students to attend two tutorial lectures and a seminar given by Prof. Gabriel Stoltz as part of his visit to Edinburgh, on the topic of “Algorithms for sampling high dimensional probability measures, with applications in molecular modelling and Bayesian statistics” Gabriel Stoltz is a Senior

Sandpit Schedule (21/10/22) 13:30-17:00 13:30-13:45 Welcome and introduction to MAC-MIGS 13:45-14:15 Brainnwave (Diverse applications of data science)14:15-14:45 Public Health Scotland (Modelling, statistics, simulation for healthcare) 14:45-15:00 Tea/Coffee 15:00-15:30 Bays Consulting (Statistics and data science consulting) 15:30-16:00 Altair (EDEM) (High performance software for material simulation) 16:00-16:30 Q&As 16:30- Tea, coffee and cake at Bayes Centre (5th floor)

    MAC-MIGS Research Afternoon – Friday 8th July 2022 ** Intersections in Optimisation and Fluid Mechanics **   The workshop will take place on the 8th July, 11am-4pm. This is a hybrid event with limited in-person spaces at Bayes Centre, University of Edinburgh. To register, please complete the  Registration Form Fluid Mechanics and Optimisation

    MAC-MIGS Research Afternoon – Friday 1st July 2022 ** Learning Complex Structures on Graphs **   The workshop will take place on the 1st July, 11am-3pm. This is a hybrid event with limited in-person spaces at Bayes Centre, University of Edinburgh. To register, please complete the  Registration Form Graphs (or networks) are ubiquitous

    MAC-MIGS Talks by Prof Richard Tsai – Thursday 7th April 2022   Yen-Hsi Richard Tsai is a professor of mathematics at the University of Texas at Austin and a fellow of the Oden Institute for Computational Engineering and Sciences. His work is in scientific computing and he has made contributions to machine learning,

    MIGS CDT Cross-disciplinary Afternoon – Wednesday 30th March 2022 ** Meeting Mathematical Physics, Computational Mathematics and Applied Analysis **   The workshop will take place on the 30th March,  1.30pm – 5pm at ICMS – Bayes webinar room 5.46 and online on Zoom.  For those wanting to attend in person, please inform David

    Mathematical Modelling: Perspectives on large scale systems, machine learning, and applications The workshop will take place on the 26th November online. Speakers and titles: 1pm Claudia Sagastizábal (UNICAMP) What is the cost of water? How can we price wind? 1.45pm Carola-Bibiane Schönlieb (Cambridge) Mathematical imaging: From geometric PDEs and variational modelling to deep

Sandpit Schedule (15/10/21) 13:00-16:00 12:00-13:00 Lunch13:00-13:20 Welcome and introduction to MAC-MIGS 13:20-13:40 IBM Research (Uncertainty quantification in engineering) 13:40-14:00 Ventient Energy (Data science and modelling for wind farms) 14:00-14:20 Brainnwave (Diverse applications of data science) 14:20-14:40 Break and discussions 14:40-15:00 Akzo Nobel (Modelling for material science) 15:00-15:20 Bays Consulting (Diverse applications of data science and