Professional Development Series
The ASB Student Committee is pleased to announce our new Professional Development series, a series of online events geared toward students’ professional development. This series of workshops will feature students, post-docs, faculty, and industry partners who will discuss topics chosen by the ASB Student Committee. Topics will include navigating career choices post-graduation, managing work/life balance, and finding/applying for funding opportunities. We intend to schedule a bi-monthly Professional Development event. Details on each upcoming event are available in the calendar listing below.
All are welcomed to attend the Professional Development series. There are no fees to participate but participants must register to attend. If you have a specific topic or speaker you’d like to hear from, please contact your student representative Anna Bailes at asbstudentrep@asbweb.org.
Upcoming Events
Check back soon…
PREVIOUS Events
EVENT 02: Student Professional Development Event
Hosted by: Erica Bell, postdoctoral research fellow and cofounder of Black Biomechanists Association
Date and time: Wednesday, February 8th at 7pm ET/6pm CT
Event 01: Obstacles and Strategies for Code Development and Sharing in Biomechanics
Presenter: Mitchell Tillman (PhD Candidate at Stevens Institute of Technology)
Title of paper: Obstacles and Strategies for Code Development and Sharing in Biomechanics
Date and time: Thursday, December 8th, 5pm CT/6pm ET
Highlights:
- What if you could integrate any data analysis code from the literature into your existing code with just a click? In this seminar, learn how a common framework for scientific computing can facilitate this and more.
- Code sharing in biomechanics is still in its infancy. What are the technical barriers to sharing code, and how can we overcome them? To learn about a proposed framework that overcomes these obstacles, join the our first Professional Development Series seminar.
- No framework currently exists to facilitate scientific code sharing. Join this seminar to learn about a proposed application for scientific computing that facilitates reproducible, modular, and shareable data analysis.