The Corresponding Author: An Academic Data Science Podcast with co-hosts @StrictlyStat and @stephaniehicks talking about all things #academic#datascience
📣 Episode 19 -- Academic Data Science Portfolios
@StrictlyStat@stephaniehicks discuss the intersection of industry #datascience portfolios and #academic portfolios. What is it? Why create it? What goes in it?
P.S. check out bloopers at the end!
🎧 https://t.co/6yYPDk4ZQQ
📣 Episode 17 -- Post-docs Part 2
@StrictlyStat and @stephaniehicks talk about the hiring process and outreach of a #postdoc. Topics: funding, cold emails, interviews, negotiable items. Also discuss choosing amongst multiple offers
🎧 https://t.co/ofCYqeK2yJ
#AcademicTwitter
We haven't been recording much these days due to #covid19, but we did record on April 14! And then we totally dropped the ball on posting it...
Ep 14 is now up with @StrictlyStat and @stephaniehicks discussing impact of #covid19 on #academia. #StaySafe
🎧 https://t.co/A0sz1hNGvh
🎓🎉 Well, that’s a wrap! Not quite how I pictured ending my 9 years at JHU, but I’m so thankful to everyone @jhubiostat & @JohnsHopkinsSPH who helped make this #Covid19Graduation as special and celebratory as possible. Certainly a moment I’ll never forget! 🥰 #JHU2020#PhDone
I'm excited to share with you that I am now a Research Scientist at @LieberInstitute ✨😊🙌🏾
There are many things I need to learn + tons of new challenges, but I'm grateful for the support throughout the years as well as LIBD for believing in me. Thanks🤗
https://t.co/zmFId63hhj
Preview for Episode 12: John airs his frustrations of seeing so many deep learning papers without their code and/or data released, leaving only the methods section to “reproduce” the analysis, many times insufficiently…