The Michigan Institute for Data Science (MIDAS) invites you to register for its workshop (fall, 2020) and bootcamp (summer, 2021) for biomedical scientists.
Workshop on Introductory Data Science
Bootcamp on Introductory Data Science
Workshop objectives: This workshop will provide an introduction to data science from a biomedical perspective. After participating in this workshop trainees will be able to determine in which areas of clinical practice the application of data science, machine learning, artificial intelligence, or statistics is most appropriate, and where these techniques can be integrated into their own practice.
ACCME Statement: The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The University of Michigan Medical School designates this live activity for a maximum of 5.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
When: Oct. 27, 2020, 9 am to 4 pm, virtual event.
Who should attend: this workshop is open to all biomedical scientists, but the content is geared towards junior faculty members who are interested in learning about the bootcamp and who plan to incorporate data science in their research.
What: The workshop includes an introduction to key concepts of data science, overview of the bootcamp and other training opportunities on campus, presentations by biomedical faculty members who have successfully incorporated data science in their research.
Lead instructor: Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
For questions, please contact:James Walsh, MIDAS Administrative Assistant Sr. (walshjam@umich.edu)
When: July 26 – 30, 2021 7am to 4:15pm
Who should attend: this workshop is open to all biomedical scientists, but the content is geared towards junior faculty members who plan to incorporate data science in their research.
- Prerequisite: college level math and statistics.
What: the main components include:
- Math and algorithmic foundations for data science
- Key concepts of data science
- Introduction to Python programming
- Machine learning, support vector machine, artificial neural network, deep learning
- Example of biomedical research projects with data science
- Incorporating data science in biomedical grant proposals
Lead instructor: Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
Other instructors:
- Mathew Davis, Associate Professor in the Department of Systems, Populations and Leadership
- Nambi Nallasamy, Assistant Professor of Ophthalmology
- Jonathan Gryak, Research Assistant Scientist of Computational Medicine and Bioinformatics and Research Assistant Scientist at MIDAS
- Michael Sjoding, Assistant Professor in the Division of Pulmonary and Critical Care and the Department of Internal Medicine
- Michael Mathis, Assistant Professor of Anesthesiology
For questions, please contact: James Walsh, MIDAS Administrative Assistant Sr. (walshjam@umich.edu)
WORKSHOP ANCHOR
Workshop Schedule
09:00am – 09:15am Welcome & brief MIDAS presentation
Jing Liu, MIDAS Managing Director
09:15am – 09:30am Introduction of instructors and participants
Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
09:30am – 10:30am Goals and general overview of training program; who can best benefit from this training?
Speaker: Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
10:30am – 10:45am Break
10:45am – 11:15am Why is training in data sciences necessary for physician-scientist in all fields?
Speaker: Brahmajee Nallamothu, Professor in the Division of Cardiovascular Diseases and the Department of Internal Medicine
11:15am – 12:00pm Data sciences, machine learning, artificial intelligence and statistics; similarities and differences
Speaker: Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
12:00pm – 01:00pm Lunch break
01:00pm – 01:45pm Success story I – Data science for clinical diagnosis of ARDS
Speaker: Michael Sjoding, Assistant Professor in the Division of Pulmonary and Critical Care and the Department of Internal Medicine
01:45pm – 02:30pm Success story II – Data science for anesthesiology
Speaker: Michael Mathis, Assistant Professor of Anesthesiology
02:30pm – 02:45pm Break
02:45pm – 04:00pm Description of boot camp, data science training resources on campus, Q&A and wrap-up
Moderator: Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, and MIDAS Associate Director
04:00pm – 04:30pm Open Virtual Networking [Link to Networking Platform]
Hosted via Remo, introduction and instructions will be given by James Walsh (MIDAS Admin.)
BOOTCAMP ANCHOR
