Campuses:

Announcing IMA Programs for the 2017-18 Academic Year

The IMA is pleased to announce the following major programs for the 2017-18 academic year, all of which complement the IMA’s mission to connect scientists, engineers, and mathematicians in order to address scientific and technological challenges in a collaborative, engaging environment, developing transformative, new mathematics and exploring its applications. More information on each program will become available in the coming months.

SageMath Coding Sprints

SageMath is an open-source, general purpose mathematical software system that is free to use for private, commercial, and governmental use. Because of its open-source nature, the software also utilizes an open development model where students and researchers from many different areas of mathematics can (a) examine source code so that it is possible to understand how each calculation is done and (b) become involved as users and developers as part of the Sage community. Activities aim to further develop software that will be of use to academia and industrial scientists, as well as introduce SageMath to graduate students and researchers and train them to become part of the developer community.

Industrial Mathematics Clinic: Tackling Collaboratively Emerging Problems in Industry

There is a growing trend of faculty working closely with industry, as the fast-changing nature of business operations has created a plethora of research questions. At the same time, business managers often seek advice from academia when faced with new research questions. While senior faculty are taking a leadership role in connecting academic rigor with the business needs, junior faculty tend to have less exposure to business environments. The goal of the program is to promote modern business mathematics research through collaborative working groups consisting of senior faculty with industry experience, industry leaders, and junior faculty who are excited about research that can have a fast impact.

Innovative Statistics and Machine Learning for Precision Medicine

Precision medicine is an emerging practice of medicine that uses a patient's specific characteristics, such as genetic information, health history, environmental exposure, and needs and preferences, to guide decisions on the prevention, diagnosis, and treatment of diseases. Stimulated by the advancements in genomics and medical imaging, exciting and remarkable progress has been made in this field. The program aims to bring together statisticians, biostatisticians, data scientists, healthcare domain experts, and graduate students to exchange new ideas on the state-of-the-art and challenges in the research on statistical and machine learning methods for precision medicine.

Modeling, Stochastic Control, Optimization, and Related Applications

This programs aims to bring together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science to review and update recent progress in several research areas. These areas include: (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications.

Multiscale Mathematics and Computing in Science and Engineering

Advances in multiscale mathematics and their applications are essential to future progress in basic science and technology. This program aims to develop a collaborative research community by bringing together leading mathematicians with scientists and engineers to address emerging multiscale modeling and computational challenges in science and engineering. Activities will be united by common multiscale challenges that can benefit from interdisciplinary research. Project themes include molecular dynamics, properties of 2D materials, physiology, complex fluids and materials processing, energy conversion, and polymer degradation.